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<p>% STAT 133 Final Report
% Student: Xi Chen, SID: 22824137</p>
<h1>Preliminary Data Analysis</h1>
<p>First we analyze the if some questions are omitted more than others:</p>
<pre><code class="r">filtered.data = read.table("ling-data-clean.data", header = T)
vars = grep("Q", colnames(filtered.data), value = T)
omitted.count = apply(filtered.data[, vars] == 0, sum, MARGIN = c(2)) # filtered.data is raw data with specified obs removed
barplot(omitted.count)
</code></pre>
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" alt="plot of chunk unnamed-chunk-1"/> </p>
<p>It's evident from the bar plot that certain questions are omitted significantly more than others. Next we will analyze what are the outliers and if the exclusion is related to geography:</p>
<pre><code class="r">outliers = names(omitted.count[omitted.count > quantile(omitted.count, probs = c(0.95))])
print(outliers)
</code></pre>
<pre><code>## [1] "Q071" "Q083" "Q092" "Q095"
</code></pre>
<pre><code class="r">omitters.ind = filtered.data[, outliers] == 0
omitters = filtered.data[omitters.ind, ]
plot(filtered.data[-omitters.ind, "lat"], filtered.data[-omitters.ind, "long"],
col = "blue", xlab = "latitude", ylab = "longtitude", pch = "*")
points(omitters[, "lat"], omitters[, "long"], col = "red", pch = "*")
legend("topright", c("non-omitting", "omitting"), pch = c("*"), col = c("blue",
"red"))
</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-2"/> </p>
<p>We can see from the graph that although there is a slight correlation between omitting these questions and geographic location, the connection is not conclusive.</p>
<h1>Relations between questions and geographic location</h1>
<p>We will first look at the relations between some of the questions and location by inspecting the results of Hierarchical Clustering and K-means Clustering</p>
<pre><code class="r">binary.data = read.table("binary-ling-data.data", header = T)
# since hclust has a running time much worse than kmeans, we use a sampled
# set here to explore
sampled = sample(x = 1:nrow(binary.data), size = 5966)
binary.data.sampled = binary.data[sampled, ]
binary.vars = grep("Q", names(binary.data), value = T)
selected.vars = binary.vars[65:107] # Q60-64
binary.dist = dist(binary.data.sampled[, selected.vars])
tree = hclust(binary.dist)
hclust.labels = cutree(tree, h = 3)
colors = rainbow(max(hclust.labels)) # brewer.pal(name='Blues',n=max(hclust.labels))
plot(binary.data.sampled[, "lat"], binary.data.sampled[, "long"], col = colors[hclust.labels],
xlab = "latitude", ylab = "longtitude", pch = 20, main = "Clusters from Hierarchical Clustering")
</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-3"/> </p>
<pre><code class="r">
kmeans.labels = kmeans(binary.data[, selected.vars], centers = max(hclust.labels))$cluster
plot(binary.data[, "lat"], binary.data[, "long"], col = colors[kmeans.labels],
xlab = "latitude", ylab = "longtitude", pch = 20, main = "Clusters from K-means")
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-3"/> </p>
<p>From both the results of K-means and Hierarchical Clustering, we can see that there are dominant clusters that are distributed relatively uniformly in terms of geographic-location. On the other hand, there exist a certain number of smaller groups that exihbit stronger location association. This phenomenon can be interpreted as certain dialects are prevalent everywhere and hence do not indicate strong association with specific areas. On the other hand, some dialects might be tied more tightly to the locations that use the dialects. </p>
<p>Then we will investigate if we can use some questions to predict to answers of others. If the answer is yes, then it would be safe to assume that these questions do characterize different dialects. In particular, we will try to use a subset of the binarified data to predict another subset using multinomial logistic classification</p>
<pre><code class="r">train = sample(1:nrow(binary.data), size = 5000)
test = sample(setdiff(1:nrow(binary.data), train), size = 5000)
predicted.vars = vars[1:11] # Q50-Q60
temp = cbind(filtered.data[train, predicted.vars], binary.data[train, selected.vars])
library("nnet")
Mode <- function(x) {
ux <- unique(x)
ux[which.max(tabulate(match(x, ux)))]
}
for (q in predicted.vars) {
sink(file = "/dev/null")
multi = multinom(paste(q, " ~ ", paste(selected.vars, collapse = "+")),
data = temp, maxit = 500)
sink()
predicted = predict(multi, binary.data[test, selected.vars])
actual = filtered.data[test, q]
print(paste("Using answers from Q60-64 to classify answer of ", q))
print("Rate of naive classifier:")
print(sum(Mode(actual) == actual)/length(test))
print("Rate of this classifier:")
print(sum(predicted == actual)/length(test))
}
</code></pre>
<pre><code>## [1] "Using answers from Q60-64 to classify answer of Q050"
## [1] "Rate of naive classifier:"
## [1] 0.409
## [1] "Rate of this classifier:"
## [1] 0.4186
## [1] "Using answers from Q60-64 to classify answer of Q051"
## [1] "Rate of naive classifier:"
## [1] 0.677
## [1] "Rate of this classifier:"
## [1] 0.675
## [1] "Using answers from Q60-64 to classify answer of Q052"
## [1] "Rate of naive classifier:"
## [1] 0.3798
## [1] "Rate of this classifier:"
## [1] 0.401
## [1] "Using answers from Q60-64 to classify answer of Q053"
## [1] "Rate of naive classifier:"
## [1] 0.876
## [1] "Rate of this classifier:"
## [1] 0.8756
## [1] "Using answers from Q60-64 to classify answer of Q054"
## [1] "Rate of naive classifier:"
## [1] 0.907
## [1] "Rate of this classifier:"
## [1] 0.9058
## [1] "Using answers from Q60-64 to classify answer of Q055"
## [1] "Rate of naive classifier:"
## [1] 0.8778
## [1] "Rate of this classifier:"
## [1] 0.877
## [1] "Using answers from Q60-64 to classify answer of Q056"
## [1] "Rate of naive classifier:"
## [1] 0.6106
## [1] "Rate of this classifier:"
## [1] 0.6222
## [1] "Using answers from Q60-64 to classify answer of Q057"
## [1] "Rate of naive classifier:"
## [1] 0.6878
## [1] "Rate of this classifier:"
## [1] 0.6876
## [1] "Using answers from Q60-64 to classify answer of Q058"
## [1] "Rate of naive classifier:"
## [1] 0.5264
## [1] "Rate of this classifier:"
## [1] 0.5448
## [1] "Using answers from Q60-64 to classify answer of Q059"
## [1] "Rate of naive classifier:"
## [1] 0.5222
## [1] "Rate of this classifier:"
## [1] 0.5208
## [1] "Using answers from Q60-64 to classify answer of Q060"
## [1] "Rate of naive classifier:"
## [1] 0.6556
## [1] "Rate of this classifier:"
## [1] 1
</code></pre>
<p>We will use the constant function \( f(x) = Mode(X) \) as a baseline naive classifier to compare the multinomial classifier's performance. The fact that these naive classifiers can sometimes outperform naive classifiers suggest a certain level of connection between some of these questions, but it also revelas that there might not be associations between certain pairs of questions.</p>
<h1>Dimensionality Reduction</h1>
<p>Since it's hard to explore high-dimensional data, we will apply the usual dimensionality reduction technique to aid our exploration. Notice here it doesn't make sense to apply PCA to the raw responses data, because the discrete values in each dimension (responses to questions) do not admit proper interpretation in real number domain.</p>
<pre><code class="r"># again, we use a sampled set instead of the whole data set
pca = prcomp(binary.data[, binary.vars])
# look at summary
summary(pca)
</code></pre>
<pre><code>## Importance of components:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7
## Standard deviation 1.2191 1.1252 1.0225 0.8773 0.8460 0.8111 0.7855
## Proportion of Variance 0.0411 0.0350 0.0289 0.0213 0.0198 0.0182 0.0171
## Cumulative Proportion 0.0411 0.0762 0.1051 0.1265 0.1463 0.1645 0.1816
## PC8 PC9 PC10 PC11 PC12 PC13 PC14
## Standard deviation 0.7570 0.7006 0.6763 0.6650 0.6543 0.6426 0.6325
## Proportion of Variance 0.0159 0.0136 0.0127 0.0122 0.0118 0.0114 0.0111
## Cumulative Proportion 0.1974 0.2110 0.2237 0.2359 0.2478 0.2592 0.2703
## PC15 PC16 PC17 PC18 PC19 PC20 PC21
## Standard deviation 0.6227 0.6135 0.6100 0.5979 0.59447 0.58934 0.58103
## Proportion of Variance 0.0107 0.0104 0.0103 0.0099 0.00978 0.00962 0.00935
## Cumulative Proportion 0.2810 0.2915 0.3018 0.3117 0.32144 0.33106 0.34040
## PC22 PC23 PC24 PC25 PC26 PC27
## Standard deviation 0.57233 0.56570 0.56459 0.55872 0.5541 0.54994
## Proportion of Variance 0.00907 0.00886 0.00883 0.00864 0.0085 0.00837
## Cumulative Proportion 0.34947 0.35833 0.36716 0.37580 0.3843 0.39268
## PC28 PC29 PC30 PC31 PC32 PC33
## Standard deviation 0.54498 0.54068 0.53830 0.53521 0.53129 0.52600
## Proportion of Variance 0.00822 0.00809 0.00802 0.00793 0.00782 0.00766
## Cumulative Proportion 0.40090 0.40899 0.41702 0.42495 0.43276 0.44042
## PC34 PC35 PC36 PC37 PC38 PC39
## Standard deviation 0.52327 0.51913 0.51521 0.51473 0.51159 0.50842
## Proportion of Variance 0.00758 0.00746 0.00735 0.00734 0.00725 0.00716
## Cumulative Proportion 0.44800 0.45547 0.46282 0.47015 0.47740 0.48455
## PC40 PC41 PC42 PC43 PC44 PC45
## Standard deviation 0.50675 0.50499 0.50156 0.49782 0.49364 0.4919
## Proportion of Variance 0.00711 0.00706 0.00697 0.00686 0.00675 0.0067
## Cumulative Proportion 0.49166 0.49873 0.50569 0.51255 0.51930 0.5260
## PC46 PC47 PC48 PC49 PC50 PC51
## Standard deviation 0.48876 0.48639 0.48175 0.47963 0.47674 0.4733
## Proportion of Variance 0.00661 0.00655 0.00643 0.00637 0.00629 0.0062
## Cumulative Proportion 0.53261 0.53916 0.54559 0.55196 0.55825 0.5645
## PC52 PC53 PC54 PC55 PC56 PC57
## Standard deviation 0.47228 0.47044 0.46728 0.46681 0.46331 0.46016
## Proportion of Variance 0.00618 0.00613 0.00605 0.00603 0.00594 0.00586
## Cumulative Proportion 0.57063 0.57676 0.58280 0.58883 0.59478 0.60064
## PC58 PC59 PC60 PC61 PC62 PC63
## Standard deviation 0.45343 0.45176 0.44834 0.44389 0.44075 0.43897
## Proportion of Variance 0.00569 0.00565 0.00557 0.00546 0.00538 0.00534
## Cumulative Proportion 0.60633 0.61198 0.61755 0.62300 0.62838 0.63372
## PC64 PC65 PC66 PC67 PC68 PC69
## Standard deviation 0.43668 0.43304 0.43107 0.42579 0.42411 0.42176
## Proportion of Variance 0.00528 0.00519 0.00514 0.00502 0.00498 0.00492
## Cumulative Proportion 0.63900 0.64419 0.64933 0.65435 0.65933 0.66426
## PC70 PC71 PC72 PC73 PC74 PC75
## Standard deviation 0.41993 0.41422 0.41078 0.40661 0.40159 0.39717
## Proportion of Variance 0.00488 0.00475 0.00467 0.00458 0.00447 0.00437
## Cumulative Proportion 0.66914 0.67389 0.67856 0.68314 0.68761 0.69197
## PC76 PC77 PC78 PC79 PC80 PC81
## Standard deviation 0.39544 0.39308 0.3897 0.38345 0.38190 0.38146
## Proportion of Variance 0.00433 0.00428 0.0042 0.00407 0.00404 0.00403
## Cumulative Proportion 0.69630 0.70058 0.7048 0.70886 0.71289 0.71692
## PC82 PC83 PC84 PC85 PC86 PC87
## Standard deviation 0.37897 0.37591 0.37140 0.36828 0.36514 0.36151
## Proportion of Variance 0.00398 0.00391 0.00382 0.00376 0.00369 0.00362
## Cumulative Proportion 0.72090 0.72481 0.72863 0.73239 0.73608 0.73970
## PC88 PC89 PC90 PC91 PC92 PC93
## Standard deviation 0.35939 0.35694 0.35225 0.35107 0.34989 0.34728
## Proportion of Variance 0.00358 0.00353 0.00344 0.00341 0.00339 0.00334
## Cumulative Proportion 0.74327 0.74680 0.75024 0.75365 0.75704 0.76038
## PC94 PC95 PC96 PC97 PC98 PC99
## Standard deviation 0.34172 0.33965 0.33889 0.33580 0.3348 0.33321
## Proportion of Variance 0.00323 0.00319 0.00318 0.00312 0.0031 0.00307
## Cumulative Proportion 0.76361 0.76680 0.76998 0.77311 0.7762 0.77928
## PC100 PC101 PC102 PC103 PC104 PC105
## Standard deviation 0.33100 0.329 0.32712 0.32616 0.3239 0.32134
## Proportion of Variance 0.00303 0.003 0.00296 0.00295 0.0029 0.00286
## Cumulative Proportion 0.78232 0.785 0.78828 0.79122 0.7941 0.79699
## PC106 PC107 PC108 PC109 PC110 PC111
## Standard deviation 0.32078 0.31855 0.31645 0.31353 0.31185 0.30771
## Proportion of Variance 0.00285 0.00281 0.00277 0.00272 0.00269 0.00262
## Cumulative Proportion 0.79984 0.80265 0.80542 0.80814 0.81083 0.81345
## PC112 PC113 PC114 PC115 PC116 PC117
## Standard deviation 0.30707 0.30477 0.30253 0.3005 0.29875 0.29763
## Proportion of Variance 0.00261 0.00257 0.00253 0.0025 0.00247 0.00245
## Cumulative Proportion 0.81607 0.81864 0.82117 0.8237 0.82614 0.82859
## PC118 PC119 PC120 PC121 PC122 PC123
## Standard deviation 0.29613 0.29405 0.29193 0.29041 0.2883 0.28648
## Proportion of Variance 0.00243 0.00239 0.00236 0.00234 0.0023 0.00227
## Cumulative Proportion 0.83102 0.83342 0.83578 0.83811 0.8404 0.84268
## PC124 PC125 PC126 PC127 PC128 PC129
## Standard deviation 0.28477 0.28135 0.27826 0.27658 0.2755 0.2751
## Proportion of Variance 0.00225 0.00219 0.00214 0.00212 0.0021 0.0021
## Cumulative Proportion 0.84493 0.84712 0.84927 0.85138 0.8535 0.8556
## PC130 PC131 PC132 PC133 PC134 PC135
## Standard deviation 0.27251 0.26941 0.26795 0.26582 0.26498 0.26081
## Proportion of Variance 0.00206 0.00201 0.00199 0.00196 0.00194 0.00188
## Cumulative Proportion 0.85764 0.85965 0.86163 0.86359 0.86553 0.86742
## PC136 PC137 PC138 PC139 PC140 PC141
## Standard deviation 0.25959 0.25845 0.25805 0.25621 0.25573 0.25407
## Proportion of Variance 0.00187 0.00185 0.00184 0.00182 0.00181 0.00179
## Cumulative Proportion 0.86928 0.87113 0.87298 0.87479 0.87660 0.87839
## PC142 PC143 PC144 PC145 PC146 PC147
## Standard deviation 0.24956 0.24902 0.24683 0.24256 0.24197 0.24082
## Proportion of Variance 0.00172 0.00172 0.00169 0.00163 0.00162 0.00161
## Cumulative Proportion 0.88012 0.88183 0.88352 0.88515 0.88677 0.88837
## PC148 PC149 PC150 PC151 PC152 PC153
## Standard deviation 0.23950 0.23820 0.23492 0.2326 0.23151 0.23018
## Proportion of Variance 0.00159 0.00157 0.00153 0.0015 0.00148 0.00147
## Cumulative Proportion 0.88996 0.89153 0.89306 0.8946 0.89604 0.89751
## PC154 PC155 PC156 PC157 PC158 PC159
## Standard deviation 0.23002 0.22771 0.22616 0.22541 0.22413 0.22317
## Proportion of Variance 0.00146 0.00144 0.00142 0.00141 0.00139 0.00138
## Cumulative Proportion 0.89898 0.90041 0.90183 0.90323 0.90463 0.90600
## PC160 PC161 PC162 PC163 PC164 PC165
## Standard deviation 0.22185 0.21913 0.21744 0.21621 0.21435 0.21337
## Proportion of Variance 0.00136 0.00133 0.00131 0.00129 0.00127 0.00126
## Cumulative Proportion 0.90737 0.90870 0.91001 0.91130 0.91257 0.91383
## PC166 PC167 PC168 PC169 PC170 PC171
## Standard deviation 0.21221 0.21100 0.20984 0.20972 0.20743 0.20667
## Proportion of Variance 0.00125 0.00123 0.00122 0.00122 0.00119 0.00118
## Cumulative Proportion 0.91508 0.91631 0.91753 0.91875 0.91994 0.92112
## PC172 PC173 PC174 PC175 PC176 PC177
## Standard deviation 0.20527 0.20397 0.20279 0.20182 0.20109 0.19827
## Proportion of Variance 0.00117 0.00115 0.00114 0.00113 0.00112 0.00109
## Cumulative Proportion 0.92229 0.92344 0.92458 0.92571 0.92683 0.92792
## PC178 PC179 PC180 PC181 PC182 PC183
## Standard deviation 0.19631 0.19530 0.19426 0.19336 0.19215 0.19157
## Proportion of Variance 0.00107 0.00106 0.00104 0.00104 0.00102 0.00102
## Cumulative Proportion 0.92898 0.93004 0.93108 0.93212 0.93314 0.93416
## PC184 PC185 PC186 PC187 PC188 PC189
## Standard deviation 0.19086 0.190 0.18902 0.18842 0.18749 0.18592
## Proportion of Variance 0.00101 0.001 0.00099 0.00098 0.00097 0.00096
## Cumulative Proportion 0.93517 0.936 0.93715 0.93814 0.93911 0.94007
## PC190 PC191 PC192 PC193 PC194 PC195
## Standard deviation 0.18406 0.18358 0.18261 0.18206 0.17951 0.17911
## Proportion of Variance 0.00094 0.00093 0.00092 0.00092 0.00089 0.00089
## Cumulative Proportion 0.94100 0.94194 0.94286 0.94378 0.94467 0.94556
## PC196 PC197 PC198 PC199 PC200 PC201
## Standard deviation 0.17789 0.17538 0.17440 0.17346 0.17281 0.17195
## Proportion of Variance 0.00088 0.00085 0.00084 0.00083 0.00083 0.00082
## Cumulative Proportion 0.94644 0.94729 0.94813 0.94896 0.94979 0.95061
## PC202 PC203 PC204 PC205 PC206 PC207
## Standard deviation 0.1700 0.16941 0.16888 0.16806 0.16755 0.16693
## Proportion of Variance 0.0008 0.00079 0.00079 0.00078 0.00078 0.00077
## Cumulative Proportion 0.9514 0.95220 0.95299 0.95377 0.95455 0.95532
## PC208 PC209 PC210 PC211 PC212 PC213
## Standard deviation 0.16620 0.16590 0.16519 0.16432 0.16320 0.16236
## Proportion of Variance 0.00076 0.00076 0.00076 0.00075 0.00074 0.00073
## Cumulative Proportion 0.95609 0.95685 0.95760 0.95835 0.95909 0.95982
## PC214 PC215 PC216 PC217 PC218 PC219
## Standard deviation 0.16165 0.16045 0.15983 0.15792 0.15752 0.15645
## Proportion of Variance 0.00072 0.00071 0.00071 0.00069 0.00069 0.00068
## Cumulative Proportion 0.96054 0.96126 0.96196 0.96265 0.96334 0.96402
## PC220 PC221 PC222 PC223 PC224 PC225
## Standard deviation 0.15613 0.15471 0.15421 0.15298 0.15044 0.14881
## Proportion of Variance 0.00067 0.00066 0.00066 0.00065 0.00063 0.00061
## Cumulative Proportion 0.96469 0.96536 0.96601 0.96666 0.96729 0.96790
## PC226 PC227 PC228 PC229 PC230 PC231
## Standard deviation 0.1477 0.1468 0.1466 0.14348 0.14290 0.14187
## Proportion of Variance 0.0006 0.0006 0.0006 0.00057 0.00057 0.00056
## Cumulative Proportion 0.9685 0.9691 0.9697 0.97027 0.97083 0.97139
## PC232 PC233 PC234 PC235 PC236 PC237
## Standard deviation 0.14146 0.13993 0.13924 0.13805 0.13600 0.13511
## Proportion of Variance 0.00055 0.00054 0.00054 0.00053 0.00051 0.00051
## Cumulative Proportion 0.97194 0.97249 0.97302 0.97355 0.97406 0.97457
## PC238 PC239 PC240 PC241 PC242 PC243
## Standard deviation 0.1350 0.1342 0.13066 0.13033 0.12913 0.12779
## Proportion of Variance 0.0005 0.0005 0.00047 0.00047 0.00046 0.00045
## Cumulative Proportion 0.9751 0.9756 0.97604 0.97651 0.97698 0.97743
## PC244 PC245 PC246 PC247 PC248 PC249
## Standard deviation 0.12761 0.12704 0.12585 0.12531 0.12392 0.12325
## Proportion of Variance 0.00045 0.00045 0.00044 0.00043 0.00043 0.00042
## Cumulative Proportion 0.97788 0.97833 0.97876 0.97920 0.97962 0.98005
## PC250 PC251 PC252 PC253 PC254 PC255
## Standard deviation 0.12285 0.12206 0.12137 0.11936 0.11880 0.11814
## Proportion of Variance 0.00042 0.00041 0.00041 0.00039 0.00039 0.00039
## Cumulative Proportion 0.98046 0.98088 0.98128 0.98168 0.98207 0.98246
## PC256 PC257 PC258 PC259 PC260 PC261
## Standard deviation 0.11679 0.11602 0.11595 0.11372 0.11282 0.11071
## Proportion of Variance 0.00038 0.00037 0.00037 0.00036 0.00035 0.00034
## Cumulative Proportion 0.98283 0.98321 0.98358 0.98394 0.98429 0.98463
## PC262 PC263 PC264 PC265 PC266 PC267
## Standard deviation 0.10806 0.10717 0.10700 0.10612 0.1049 0.1042
## Proportion of Variance 0.00032 0.00032 0.00032 0.00031 0.0003 0.0003
## Cumulative Proportion 0.98495 0.98527 0.98559 0.98590 0.9862 0.9865
## PC268 PC269 PC270 PC271 PC272 PC273
## Standard deviation 0.1038 0.10237 0.10168 0.10133 0.10030 0.09866
## Proportion of Variance 0.0003 0.00029 0.00029 0.00028 0.00028 0.00027
## Cumulative Proportion 0.9868 0.98709 0.98738 0.98766 0.98794 0.98821
## PC274 PC275 PC276 PC277 PC278 PC279
## Standard deviation 0.09833 0.09783 0.09670 0.09599 0.09438 0.09357
## Proportion of Variance 0.00027 0.00026 0.00026 0.00026 0.00025 0.00024
## Cumulative Proportion 0.98848 0.98874 0.98900 0.98926 0.98950 0.98975
## PC280 PC281 PC282 PC283 PC284 PC285
## Standard deviation 0.09319 0.09144 0.09100 0.09057 0.08904 0.08778
## Proportion of Variance 0.00024 0.00023 0.00023 0.00023 0.00022 0.00021
## Cumulative Proportion 0.98999 0.99022 0.99045 0.99067 0.99089 0.99111
## PC286 PC287 PC288 PC289 PC290 PC291 PC292
## Standard deviation 0.08638 0.0860 0.0854 0.0852 0.0842 0.08230 0.08125
## Proportion of Variance 0.00021 0.0002 0.0002 0.0002 0.0002 0.00019 0.00018
## Cumulative Proportion 0.99131 0.9915 0.9917 0.9919 0.9921 0.99231 0.99249
## PC293 PC294 PC295 PC296 PC297 PC298
## Standard deviation 0.08030 0.07942 0.07789 0.07748 0.07720 0.07652
## Proportion of Variance 0.00018 0.00017 0.00017 0.00017 0.00017 0.00016
## Cumulative Proportion 0.99267 0.99284 0.99301 0.99318 0.99334 0.99350
## PC299 PC300 PC301 PC302 PC303 PC304
## Standard deviation 0.07603 0.07443 0.07355 0.07253 0.07088 0.07066
## Proportion of Variance 0.00016 0.00015 0.00015 0.00015 0.00014 0.00014
## Cumulative Proportion 0.99366 0.99382 0.99397 0.99411 0.99425 0.99439
## PC305 PC306 PC307 PC308 PC309 PC310
## Standard deviation 0.07043 0.06899 0.06793 0.06736 0.06640 0.06598
## Proportion of Variance 0.00014 0.00013 0.00013 0.00013 0.00012 0.00012
## Cumulative Proportion 0.99453 0.99466 0.99479 0.99491 0.99503 0.99515
## PC311 PC312 PC313 PC314 PC315 PC316
## Standard deviation 0.06518 0.06440 0.06335 0.06267 0.06171 0.0615
## Proportion of Variance 0.00012 0.00011 0.00011 0.00011 0.00011 0.0001
## Cumulative Proportion 0.99527 0.99539 0.99550 0.99561 0.99571 0.9958
## PC317 PC318 PC319 PC320 PC321 PC322
## Standard deviation 0.0607 0.0602 0.0592 0.05821 0.05746 0.05680
## Proportion of Variance 0.0001 0.0001 0.0001 0.00009 0.00009 0.00009
## Cumulative Proportion 0.9959 0.9960 0.9961 0.99621 0.99630 0.99639
## PC323 PC324 PC325 PC326 PC327 PC328
## Standard deviation 0.05624 0.05613 0.05546 0.05518 0.05490 0.05413
## Proportion of Variance 0.00009 0.00009 0.00009 0.00008 0.00008 0.00008
## Cumulative Proportion 0.99648 0.99656 0.99665 0.99673 0.99682 0.99690
## PC329 PC330 PC331 PC332 PC333 PC334
## Standard deviation 0.05400 0.05341 0.05297 0.05259 0.05174 0.05144
## Proportion of Variance 0.00008 0.00008 0.00008 0.00008 0.00007 0.00007
## Cumulative Proportion 0.99698 0.99706 0.99714 0.99721 0.99729 0.99736
## PC335 PC336 PC337 PC338 PC339 PC340
## Standard deviation 0.05130 0.05004 0.04941 0.04877 0.04836 0.04773
## Proportion of Variance 0.00007 0.00007 0.00007 0.00007 0.00006 0.00006
## Cumulative Proportion 0.99743 0.99750 0.99757 0.99764 0.99770 0.99776
## PC341 PC342 PC343 PC344 PC345 PC346
## Standard deviation 0.04744 0.04692 0.04605 0.04562 0.04414 0.04372
## Proportion of Variance 0.00006 0.00006 0.00006 0.00006 0.00005 0.00005
## Cumulative Proportion 0.99783 0.99789 0.99795 0.99800 0.99806 0.99811
## PC347 PC348 PC349 PC350 PC351 PC352
## Standard deviation 0.04304 0.04216 0.04175 0.04166 0.04101 0.04072
## Proportion of Variance 0.00005 0.00005 0.00005 0.00005 0.00005 0.00005
## Cumulative Proportion 0.99816 0.99821 0.99826 0.99831 0.99835 0.99840
## PC353 PC354 PC355 PC356 PC357 PC358
## Standard deviation 0.04008 0.03978 0.03976 0.03938 0.03863 0.03859
## Proportion of Variance 0.00004 0.00004 0.00004 0.00004 0.00004 0.00004
## Cumulative Proportion 0.99844 0.99849 0.99853 0.99857 0.99862 0.99866
## PC359 PC360 PC361 PC362 PC363 PC364
## Standard deviation 0.03826 0.03745 0.03717 0.03686 0.03656 0.03628
## Proportion of Variance 0.00004 0.00004 0.00004 0.00004 0.00004 0.00004
## Cumulative Proportion 0.99870 0.99874 0.99877 0.99881 0.99885 0.99889
## PC365 PC366 PC367 PC368 PC369 PC370
## Standard deviation 0.03602 0.03571 0.03377 0.03327 0.03271 0.03231
## Proportion of Variance 0.00004 0.00004 0.00003 0.00003 0.00003 0.00003
## Cumulative Proportion 0.99892 0.99896 0.99899 0.99902 0.99905 0.99908
## PC371 PC372 PC373 PC374 PC375 PC376
## Standard deviation 0.03206 0.03142 0.03101 0.03029 0.02970 0.02958
## Proportion of Variance 0.00003 0.00003 0.00003 0.00003 0.00002 0.00002
## Cumulative Proportion 0.99911 0.99913 0.99916 0.99919 0.99921 0.99923
## PC377 PC378 PC379 PC380 PC381 PC382
## Standard deviation 0.02896 0.02860 0.02843 0.02791 0.02787 0.02756
## Proportion of Variance 0.00002 0.00002 0.00002 0.00002 0.00002 0.00002
## Cumulative Proportion 0.99926 0.99928 0.99930 0.99932 0.99935 0.99937
## PC383 PC384 PC385 PC386 PC387 PC388
## Standard deviation 0.02707 0.02588 0.02480 0.02449 0.02398 0.02337
## Proportion of Variance 0.00002 0.00002 0.00002 0.00002 0.00002 0.00002
## Cumulative Proportion 0.99939 0.99941 0.99942 0.99944 0.99945 0.99947
## PC389 PC390 PC391 PC392 PC393 PC394
## Standard deviation 0.02288 0.02276 0.02255 0.02243 0.02233 0.02186
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99948 0.99950 0.99951 0.99953 0.99954 0.99955
## PC395 PC396 PC397 PC398 PC399 PC400
## Standard deviation 0.02160 0.02138 0.02122 0.02098 0.02053 0.02014
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99957 0.99958 0.99959 0.99960 0.99962 0.99963
## PC401 PC402 PC403 PC404 PC405 PC406
## Standard deviation 0.01989 0.01953 0.01939 0.01878 0.01872 0.01851
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99964 0.99965 0.99966 0.99967 0.99968 0.99969
## PC407 PC408 PC409 PC410 PC411 PC412
## Standard deviation 0.01822 0.01783 0.01764 0.01742 0.01730 0.01715
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99970 0.99971 0.99971 0.99972 0.99973 0.99974
## PC413 PC414 PC415 PC416 PC417 PC418
## Standard deviation 0.01705 0.01696 0.01671 0.01659 0.01646 0.01622
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99975 0.99976 0.99976 0.99977 0.99978 0.99979
## PC419 PC420 PC421 PC422 PC423 PC424
## Standard deviation 0.01596 0.01580 0.01571 0.01552 0.01539 0.01533
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99979 0.99980 0.99981 0.99981 0.99982 0.99983
## PC425 PC426 PC427 PC428 PC429 PC430
## Standard deviation 0.01516 0.01498 0.01486 0.01476 0.01467 0.01449
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99983 0.99984 0.99984 0.99985 0.99986 0.99986
## PC431 PC432 PC433 PC434 PC435 PC436
## Standard deviation 0.01442 0.01400 0.01392 0.01361 0.01352 0.0134
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.0000
## Cumulative Proportion 0.99987 0.99987 0.99988 0.99988 0.99989 0.9999
## PC437 PC438 PC439 PC440 PC441 PC442 PC443
## Standard deviation 0.0132 0.0129 0.0128 0.0127 0.0126 0.0125 0.0123
## Proportion of Variance 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
## Cumulative Proportion 0.9999 0.9999 0.9999 0.9999 0.9999 0.9999 0.9999
## PC444 PC445 PC446 PC447 PC448 PC449 PC450
## Standard deviation 0.0122 0.0121 0.0119 0.0118 0.0118 0.0115 0.0114
## Proportion of Variance 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
## Cumulative Proportion 0.9999 0.9999 0.9999 0.9999 1.0000 1.0000 1.0000
## PC451 PC452 PC453 PC454 PC455 PC456 PC457
## Standard deviation 0.0113 0.0111 0.011 0.0107 0.0107 0.0106 0.0104
## Proportion of Variance 0.0000 0.0000 0.000 0.0000 0.0000 0.0000 0.0000
## Cumulative Proportion 1.0000 1.0000 1.000 1.0000 1.0000 1.0000 1.0000
## PC458 PC459 PC460 PC461 PC462 PC463
## Standard deviation 0.01 0.00997 0.0097 0.00959 0.00919 0.00915
## Proportion of Variance 0.00 0.00000 0.0000 0.00000 0.00000 0.00000
## Cumulative Proportion 1.00 0.99998 1.0000 0.99999 0.99999 0.99999
## PC464 PC465 PC466 PC467 PC468
## Standard deviation 0.00886 0.00873 0.0083 0.00813 0.00763
## Proportion of Variance 0.00000 0.00000 0.0000 0.00000 0.00000
## Cumulative Proportion 0.99999 0.99999 1.0000 1.00000 1.00000
</code></pre>
<pre><code class="r">trans = solve(pca$rotation)
par(mfrow = c(3, 1))
barplot(trans["PC1", ], main = "Contribution to First PC")
barplot(trans["PC2", ], main = "Contribution to Second PC")
barplot(trans["PC3", ], main = "Contribution to Third PC")
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-5"/> </p>
<pre><code class="r">
pca.scaled = prcomp(binary.data[, binary.vars], scale. = T)
# look at summary
summary(pca.scaled)
</code></pre>
<pre><code>## Importance of components:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7
## Standard deviation 3.0254 2.7574 2.5768 2.3815 2.2235 2.1634 2.08508
## Proportion of Variance 0.0196 0.0163 0.0142 0.0121 0.0106 0.0100 0.00929
## Cumulative Proportion 0.0196 0.0358 0.0500 0.0621 0.0727 0.0827 0.09197
## PC8 PC9 PC10 PC11 PC12 PC13
## Standard deviation 1.97604 1.92798 1.85704 1.80418 1.76443 1.73381
## Proportion of Variance 0.00834 0.00794 0.00737 0.00696 0.00665 0.00642
## Cumulative Proportion 0.10031 0.10825 0.11562 0.12258 0.12923 0.13565
## PC14 PC15 PC16 PC17 PC18 PC19
## Standard deviation 1.69945 1.6339 1.62430 1.60918 1.59142 1.57807
## Proportion of Variance 0.00617 0.0057 0.00564 0.00553 0.00541 0.00532
## Cumulative Proportion 0.14182 0.1475 0.15316 0.15870 0.16411 0.16943
## PC20 PC21 PC22 PC23 PC24 PC25
## Standard deviation 1.5453 1.51543 1.49202 1.47829 1.45934 1.44399
## Proportion of Variance 0.0051 0.00491 0.00476 0.00467 0.00455 0.00446
## Cumulative Proportion 0.1745 0.17944 0.18420 0.18887 0.19342 0.19787
## PC26 PC27 PC28 PC29 PC30 PC31
## Standard deviation 1.43156 1.42273 1.41500 1.40672 1.39600 1.37306
## Proportion of Variance 0.00438 0.00433 0.00428 0.00423 0.00416 0.00403
## Cumulative Proportion 0.20225 0.20658 0.21085 0.21508 0.21925 0.22328
## PC32 PC33 PC34 PC35 PC36 PC37
## Standard deviation 1.368 1.36401 1.3507 1.34446 1.33900 1.32313
## Proportion of Variance 0.004 0.00398 0.0039 0.00386 0.00383 0.00374
## Cumulative Proportion 0.227 0.23125 0.2351 0.23901 0.24284 0.24658
## PC38 PC39 PC40 PC41 PC42 PC43
## Standard deviation 1.31744 1.31020 1.30792 1.30072 1.29350 1.29005
## Proportion of Variance 0.00371 0.00367 0.00366 0.00362 0.00358 0.00356
## Cumulative Proportion 0.25029 0.25396 0.25761 0.26123 0.26481 0.26836
## PC44 PC45 PC46 PC47 PC48 PC49
## Standard deviation 1.28519 1.28255 1.27165 1.26541 1.25711 1.25630
## Proportion of Variance 0.00353 0.00351 0.00346 0.00342 0.00338 0.00337
## Cumulative Proportion 0.27189 0.27541 0.27886 0.28228 0.28566 0.28903
## PC50 PC51 PC52 PC53 PC54 PC55
## Standard deviation 1.24878 1.24600 1.24086 1.23697 1.23353 1.22974
## Proportion of Variance 0.00333 0.00332 0.00329 0.00327 0.00325 0.00323
## Cumulative Proportion 0.29236 0.29568 0.29897 0.30224 0.30549 0.30872
## PC56 PC57 PC58 PC59 PC60 PC61
## Standard deviation 1.22547 1.21956 1.21933 1.21779 1.21456 1.20642
## Proportion of Variance 0.00321 0.00318 0.00318 0.00317 0.00315 0.00311
## Cumulative Proportion 0.31193 0.31511 0.31829 0.32146 0.32461 0.32772
## PC62 PC63 PC64 PC65 PC66 PC67
## Standard deviation 1.20301 1.20107 1.19797 1.19636 1.19280 1.185
## Proportion of Variance 0.00309 0.00308 0.00307 0.00306 0.00304 0.003
## Cumulative Proportion 0.33081 0.33389 0.33696 0.34002 0.34306 0.346
## PC68 PC69 PC70 PC71 PC72 PC73
## Standard deviation 1.18290 1.17623 1.17378 1.16943 1.16848 1.16160
## Proportion of Variance 0.00299 0.00296 0.00294 0.00292 0.00292 0.00288
## Cumulative Proportion 0.34905 0.35200 0.35495 0.35787 0.36078 0.36367
## PC74 PC75 PC76 PC77 PC78 PC79
## Standard deviation 1.16043 1.15848 1.15638 1.15583 1.15161 1.15022
## Proportion of Variance 0.00288 0.00287 0.00286 0.00285 0.00283 0.00283
## Cumulative Proportion 0.36655 0.36941 0.37227 0.37512 0.37796 0.38079
## PC80 PC81 PC82 PC83 PC84 PC85
## Standard deviation 1.14739 1.14271 1.14006 1.13925 1.13537 1.13330
## Proportion of Variance 0.00281 0.00279 0.00278 0.00277 0.00275 0.00274
## Cumulative Proportion 0.38360 0.38639 0.38917 0.39194 0.39469 0.39744
## PC86 PC87 PC88 PC89 PC90 PC91
## Standard deviation 1.13255 1.13014 1.12907 1.12763 1.12136 1.11918
## Proportion of Variance 0.00274 0.00273 0.00272 0.00272 0.00269 0.00268
## Cumulative Proportion 0.40018 0.40291 0.40563 0.40835 0.41104 0.41371
## PC92 PC93 PC94 PC95 PC96 PC97
## Standard deviation 1.11769 1.11655 1.11408 1.11278 1.11118 1.10807
## Proportion of Variance 0.00267 0.00266 0.00265 0.00265 0.00264 0.00262
## Cumulative Proportion 0.41638 0.41905 0.42170 0.42434 0.42698 0.42961
## PC98 PC99 PC100 PC101 PC102 PC103
## Standard deviation 1.10712 1.10474 1.1028 1.1022 1.09881 1.09740
## Proportion of Variance 0.00262 0.00261 0.0026 0.0026 0.00258 0.00257
## Cumulative Proportion 0.43222 0.43483 0.4374 0.4400 0.44261 0.44518
## PC104 PC105 PC106 PC107 PC108 PC109
## Standard deviation 1.09629 1.09440 1.09362 1.09136 1.08895 1.08740
## Proportion of Variance 0.00257 0.00256 0.00256 0.00255 0.00253 0.00253
## Cumulative Proportion 0.44775 0.45031 0.45286 0.45541 0.45794 0.46047
## PC110 PC111 PC112 PC113 PC114 PC115
## Standard deviation 1.08586 1.08353 1.0827 1.0809 1.07794 1.07577
## Proportion of Variance 0.00252 0.00251 0.0025 0.0025 0.00248 0.00247
## Cumulative Proportion 0.46299 0.46550 0.4680 0.4705 0.47298 0.47545
## PC116 PC117 PC118 PC119 PC120 PC121
## Standard deviation 1.07497 1.07404 1.07255 1.07179 1.07170 1.06879
## Proportion of Variance 0.00247 0.00246 0.00246 0.00245 0.00245 0.00244
## Cumulative Proportion 0.47792 0.48039 0.48284 0.48530 0.48775 0.49019
## PC122 PC123 PC124 PC125 PC126 PC127
## Standard deviation 1.06847 1.06586 1.06531 1.06329 1.06135 1.0603
## Proportion of Variance 0.00244 0.00243 0.00242 0.00242 0.00241 0.0024
## Cumulative Proportion 0.49263 0.49506 0.49749 0.49990 0.50231 0.5047
## PC128 PC129 PC130 PC131 PC132 PC133
## Standard deviation 1.0587 1.05819 1.05633 1.05459 1.05407 1.05319
## Proportion of Variance 0.0024 0.00239 0.00238 0.00238 0.00237 0.00237
## Cumulative Proportion 0.5071 0.50950 0.51188 0.51426 0.51663 0.51900
## PC134 PC135 PC136 PC137 PC138 PC139
## Standard deviation 1.05088 1.04990 1.04782 1.04709 1.04512 1.04452
## Proportion of Variance 0.00236 0.00236 0.00235 0.00234 0.00233 0.00233
## Cumulative Proportion 0.52136 0.52372 0.52606 0.52841 0.53074 0.53307
## PC140 PC141 PC142 PC143 PC144 PC145
## Standard deviation 1.04364 1.04245 1.04237 1.04102 1.03992 1.03905
## Proportion of Variance 0.00233 0.00232 0.00232 0.00232 0.00231 0.00231
## Cumulative Proportion 0.53540 0.53772 0.54004 0.54236 0.54467 0.54698
## PC146 PC147 PC148 PC149 PC150 PC151
## Standard deviation 1.0378 1.0365 1.03526 1.03413 1.03398 1.03068
## Proportion of Variance 0.0023 0.0023 0.00229 0.00229 0.00228 0.00227
## Cumulative Proportion 0.5493 0.5516 0.55386 0.55615 0.55843 0.56070
## PC152 PC153 PC154 PC155 PC156 PC157
## Standard deviation 1.02967 1.02866 1.02747 1.02729 1.02571 1.02399
## Proportion of Variance 0.00227 0.00226 0.00226 0.00225 0.00225 0.00224
## Cumulative Proportion 0.56297 0.56523 0.56749 0.56974 0.57199 0.57423
## PC158 PC159 PC160 PC161 PC162 PC163
## Standard deviation 1.02378 1.02297 1.02076 1.02007 1.01986 1.01830
## Proportion of Variance 0.00224 0.00224 0.00223 0.00222 0.00222 0.00222
## Cumulative Proportion 0.57647 0.57870 0.58093 0.58315 0.58538 0.58759
## PC164 PC165 PC166 PC167 PC168 PC169
## Standard deviation 1.01808 1.01691 1.0156 1.0153 1.0141 1.01304
## Proportion of Variance 0.00221 0.00221 0.0022 0.0022 0.0022 0.00219
## Cumulative Proportion 0.58981 0.59202 0.5942 0.5964 0.5986 0.60081
## PC170 PC171 PC172 PC173 PC174 PC175
## Standard deviation 1.01151 1.01125 1.01058 1.01002 1.00953 1.00768
## Proportion of Variance 0.00219 0.00219 0.00218 0.00218 0.00218 0.00217
## Cumulative Proportion 0.60300 0.60519 0.60737 0.60955 0.61172 0.61389
## PC176 PC177 PC178 PC179 PC180 PC181
## Standard deviation 1.00636 1.00558 1.00498 1.00471 1.00324 1.00241
## Proportion of Variance 0.00216 0.00216 0.00216 0.00216 0.00215 0.00215
## Cumulative Proportion 0.61606 0.61822 0.62038 0.62253 0.62469 0.62683
## PC182 PC183 PC184 PC185 PC186 PC187
## Standard deviation 1.00176 1.00041 1.00003 0.99988 0.99799 0.99679
## Proportion of Variance 0.00214 0.00214 0.00214 0.00214 0.00213 0.00212
## Cumulative Proportion 0.62898 0.63111 0.63325 0.63539 0.63752 0.63964
## PC188 PC189 PC190 PC191 PC192 PC193
## Standard deviation 0.99632 0.99512 0.99465 0.99415 0.99305 0.9920
## Proportion of Variance 0.00212 0.00212 0.00211 0.00211 0.00211 0.0021
## Cumulative Proportion 0.64176 0.64388 0.64599 0.64810 0.65021 0.6523
## PC194 PC195 PC196 PC197 PC198 PC199
## Standard deviation 0.9914 0.98994 0.98916 0.98849 0.98715 0.98606
## Proportion of Variance 0.0021 0.00209 0.00209 0.00209 0.00208 0.00208
## Cumulative Proportion 0.6544 0.65651 0.65860 0.66068 0.66277 0.66484
## PC200 PC201 PC202 PC203 PC204 PC205
## Standard deviation 0.98529 0.98503 0.98377 0.98296 0.98249 0.98184
## Proportion of Variance 0.00207 0.00207 0.00207 0.00206 0.00206 0.00206
## Cumulative Proportion 0.66692 0.66899 0.67106 0.67312 0.67519 0.67725
## PC206 PC207 PC208 PC209 PC210 PC211
## Standard deviation 0.98138 0.97937 0.97933 0.97809 0.97775 0.97705
## Proportion of Variance 0.00206 0.00205 0.00205 0.00204 0.00204 0.00204
## Cumulative Proportion 0.67931 0.68135 0.68340 0.68545 0.68749 0.68953
## PC212 PC213 PC214 PC215 PC216 PC217
## Standard deviation 0.97618 0.97580 0.97422 0.97329 0.97243 0.97205
## Proportion of Variance 0.00204 0.00203 0.00203 0.00202 0.00202 0.00202
## Cumulative Proportion 0.69157 0.69360 0.69563 0.69765 0.69967 0.70169
## PC218 PC219 PC220 PC221 PC222 PC223 PC224
## Standard deviation 0.97144 0.97124 0.97022 0.96964 0.968 0.967 0.967
## Proportion of Variance 0.00202 0.00202 0.00201 0.00201 0.002 0.002 0.002
## Cumulative Proportion 0.70371 0.70573 0.70774 0.70975 0.712 0.714 0.716
## PC225 PC226 PC227 PC228 PC229 PC230
## Standard deviation 0.96586 0.96522 0.96352 0.96209 0.96168 0.96134
## Proportion of Variance 0.00199 0.00199 0.00198 0.00198 0.00198 0.00197
## Cumulative Proportion 0.71774 0.71973 0.72172 0.72369 0.72567 0.72764
## PC231 PC232 PC233 PC234 PC235 PC236
## Standard deviation 0.96063 0.95973 0.95880 0.95839 0.95736 0.95614
## Proportion of Variance 0.00197 0.00197 0.00196 0.00196 0.00196 0.00195
## Cumulative Proportion 0.72962 0.73158 0.73355 0.73551 0.73747 0.73942
## PC237 PC238 PC239 PC240 PC241 PC242
## Standard deviation 0.95464 0.95379 0.95338 0.95172 0.95034 0.94935
## Proportion of Variance 0.00195 0.00194 0.00194 0.00194 0.00193 0.00193
## Cumulative Proportion 0.74137 0.74331 0.74526 0.74719 0.74912 0.75105
## PC243 PC244 PC245 PC246 PC247 PC248
## Standard deviation 0.94923 0.94825 0.94798 0.94660 0.94645 0.94457
## Proportion of Variance 0.00193 0.00192 0.00192 0.00191 0.00191 0.00191
## Cumulative Proportion 0.75297 0.75489 0.75681 0.75873 0.76064 0.76255
## PC249 PC250 PC251 PC252 PC253 PC254
## Standard deviation 0.9438 0.9430 0.9428 0.94165 0.94091 0.94042
## Proportion of Variance 0.0019 0.0019 0.0019 0.00189 0.00189 0.00189
## Cumulative Proportion 0.7644 0.7663 0.7682 0.77015 0.77204 0.77393
## PC255 PC256 PC257 PC258 PC259 PC260
## Standard deviation 0.93971 0.93916 0.93882 0.93781 0.93665 0.93520
## Proportion of Variance 0.00189 0.00188 0.00188 0.00188 0.00187 0.00187
## Cumulative Proportion 0.77581 0.77770 0.77958 0.78146 0.78334 0.78521
## PC261 PC262 PC263 PC264 PC265 PC266
## Standard deviation 0.93432 0.93339 0.93326 0.93221 0.93191 0.93018
## Proportion of Variance 0.00187 0.00186 0.00186 0.00186 0.00186 0.00185
## Cumulative Proportion 0.78707 0.78893 0.79079 0.79265 0.79451 0.79635
## PC267 PC268 PC269 PC270 PC271 PC272
## Standard deviation 0.92861 0.92689 0.92571 0.92487 0.92454 0.92323
## Proportion of Variance 0.00184 0.00184 0.00183 0.00183 0.00183 0.00182
## Cumulative Proportion 0.79820 0.80003 0.80186 0.80369 0.80552 0.80734
## PC273 PC274 PC275 PC276 PC277 PC278
## Standard deviation 0.92225 0.92104 0.92018 0.91949 0.9190 0.9173
## Proportion of Variance 0.00182 0.00181 0.00181 0.00181 0.0018 0.0018
## Cumulative Proportion 0.80916 0.81097 0.81278 0.81459 0.8164 0.8182
## PC279 PC280 PC281 PC282 PC283 PC284
## Standard deviation 0.9167 0.91616 0.91488 0.91358 0.91245 0.91158
## Proportion of Variance 0.0018 0.00179 0.00179 0.00178 0.00178 0.00178
## Cumulative Proportion 0.8200 0.82178 0.82357 0.82535 0.82713 0.82890
## PC285 PC286 PC287 PC288 PC289 PC290
## Standard deviation 0.91135 0.90980 0.90916 0.90865 0.90761 0.90651
## Proportion of Variance 0.00177 0.00177 0.00177 0.00176 0.00176 0.00176
## Cumulative Proportion 0.83068 0.83245 0.83421 0.83598 0.83774 0.83949
## PC291 PC292 PC293 PC294 PC295 PC296
## Standard deviation 0.90545 0.90461 0.90376 0.90346 0.90209 0.90061
## Proportion of Variance 0.00175 0.00175 0.00175 0.00174 0.00174 0.00173
## Cumulative Proportion 0.84125 0.84299 0.84474 0.84648 0.84822 0.84995
## PC297 PC298 PC299 PC300 PC301 PC302
## Standard deviation 0.89951 0.89872 0.89747 0.89605 0.89551 0.89451
## Proportion of Variance 0.00173 0.00173 0.00172 0.00172 0.00171 0.00171
## Cumulative Proportion 0.85168 0.85341 0.85513 0.85685 0.85856 0.86027
## PC303 PC304 PC305 PC306 PC307 PC308
## Standard deviation 0.89382 0.8923 0.8910 0.88951 0.88832 0.88781
## Proportion of Variance 0.00171 0.0017 0.0017 0.00169 0.00169 0.00168
## Cumulative Proportion 0.86198 0.8637 0.8654 0.86707 0.86875 0.87044
## PC309 PC310 PC311 PC312 PC313 PC314
## Standard deviation 0.88644 0.88530 0.88436 0.88326 0.88226 0.88146
## Proportion of Variance 0.00168 0.00167 0.00167 0.00167 0.00166 0.00166
## Cumulative Proportion 0.87211 0.87379 0.87546 0.87713 0.87879 0.88045
## PC315 PC316 PC317 PC318 PC319 PC320
## Standard deviation 0.88091 0.87915 0.87817 0.87665 0.87579 0.87413
## Proportion of Variance 0.00166 0.00165 0.00165 0.00164 0.00164 0.00163
## Cumulative Proportion 0.88211 0.88376 0.88541 0.88705 0.88869 0.89032
## PC321 PC322 PC323 PC324 PC325 PC326
## Standard deviation 0.87313 0.87156 0.87016 0.86840 0.86711 0.8647
## Proportion of Variance 0.00163 0.00162 0.00162 0.00161 0.00161 0.0016
## Cumulative Proportion 0.89195 0.89357 0.89519 0.89680 0.89841 0.9000
## PC327 PC328 PC329 PC330 PC331 PC332
## Standard deviation 0.8641 0.86218 0.86076 0.86020 0.85955 0.85801
## Proportion of Variance 0.0016 0.00159 0.00158 0.00158 0.00158 0.00157
## Cumulative Proportion 0.9016 0.90319 0.90477 0.90636 0.90793 0.90951
## PC333 PC334 PC335 PC336 PC337 PC338
## Standard deviation 0.85594 0.85496 0.85364 0.85315 0.85039 0.84911
## Proportion of Variance 0.00157 0.00156 0.00156 0.00156 0.00155 0.00154
## Cumulative Proportion 0.91107 0.91263 0.91419 0.91575 0.91729 0.91883
## PC339 PC340 PC341 PC342 PC343 PC344
## Standard deviation 0.84768 0.84623 0.84545 0.84275 0.84038 0.8377
## Proportion of Variance 0.00154 0.00153 0.00153 0.00152 0.00151 0.0015
## Cumulative Proportion 0.92037 0.92190 0.92343 0.92494 0.92645 0.9280
## PC345 PC346 PC347 PC348 PC349 PC350
## Standard deviation 0.8372 0.83435 0.83274 0.83134 0.82951 0.82840
## Proportion of Variance 0.0015 0.00149 0.00148 0.00148 0.00147 0.00147
## Cumulative Proportion 0.9294 0.93094 0.93242 0.93390 0.93537 0.93683
## PC351 PC352 PC353 PC354 PC355 PC356
## Standard deviation 0.82714 0.82493 0.82257 0.82072 0.82008 0.81805
## Proportion of Variance 0.00146 0.00145 0.00145 0.00144 0.00144 0.00143
## Cumulative Proportion 0.93829 0.93975 0.94119 0.94263 0.94407 0.94550
## PC357 PC358 PC359 PC360 PC361 PC362
## Standard deviation 0.81647 0.81469 0.81150 0.80798 0.80718 0.80518
## Proportion of Variance 0.00142 0.00142 0.00141 0.00139 0.00139 0.00139
## Cumulative Proportion 0.94692 0.94834 0.94975 0.95114 0.95254 0.95392
## PC363 PC364 PC365 PC366 PC367 PC368
## Standard deviation 0.80272 0.79865 0.79674 0.79404 0.78959 0.78725
## Proportion of Variance 0.00138 0.00136 0.00136 0.00135 0.00133 0.00132
## Cumulative Proportion 0.95530 0.95666 0.95802 0.95937 0.96070 0.96202
## PC369 PC370 PC371 PC372 PC373 PC374
## Standard deviation 0.78522 0.78321 0.77547 0.77243 0.76939 0.76572
## Proportion of Variance 0.00132 0.00131 0.00128 0.00127 0.00126 0.00125
## Cumulative Proportion 0.96334 0.96465 0.96594 0.96721 0.96847 0.96973
## PC375 PC376 PC377 PC378 PC379 PC380
## Standard deviation 0.76465 0.76062 0.75714 0.75415 0.7508 0.7494
## Proportion of Variance 0.00125 0.00124 0.00122 0.00122 0.0012 0.0012
## Cumulative Proportion 0.97098 0.97221 0.97344 0.97465 0.9759 0.9771
## PC381 PC382 PC383 PC384 PC385 PC386
## Standard deviation 0.74574 0.73707 0.73515 0.73345 0.73265 0.73009
## Proportion of Variance 0.00119 0.00116 0.00115 0.00115 0.00115 0.00114
## Cumulative Proportion 0.97825 0.97941 0.98056 0.98171 0.98286 0.98400
## PC387 PC388 PC389 PC390 PC391 PC392
## Standard deviation 0.72443 0.72027 0.71311 0.70620 0.70091 0.69577
## Proportion of Variance 0.00112 0.00111 0.00109 0.00107 0.00105 0.00103
## Cumulative Proportion 0.98512 0.98623 0.98731 0.98838 0.98943 0.99046
## PC393 PC394 PC395 PC396 PC397 PC398
## Standard deviation 0.69039 0.68894 0.68086 0.67484 0.67110 0.65198
## Proportion of Variance 0.00102 0.00101 0.00099 0.00097 0.00096 0.00091
## Cumulative Proportion 0.99148 0.99250 0.99349 0.99446 0.99542 0.99633
## PC399 PC400 PC401 PC402 PC403 PC404
## Standard deviation 0.64115 0.58743 0.58361 0.44218 0.22831 0.20129
## Proportion of Variance 0.00088 0.00074 0.00073 0.00042 0.00011 0.00009
## Cumulative Proportion 0.99721 0.99795 0.99867 0.99909 0.99920 0.99929
## PC405 PC406 PC407 PC408 PC409 PC410
## Standard deviation 0.19140 0.16995 0.12572 0.12374 0.11253 0.10822
## Proportion of Variance 0.00008 0.00006 0.00003 0.00003 0.00003 0.00003
## Cumulative Proportion 0.99937 0.99943 0.99946 0.99950 0.99952 0.99955
## PC411 PC412 PC413 PC414 PC415 PC416
## Standard deviation 0.10665 0.10560 0.10188 0.09903 0.09800 0.09383
## Proportion of Variance 0.00002 0.00002 0.00002 0.00002 0.00002 0.00002
## Cumulative Proportion 0.99957 0.99960 0.99962 0.99964 0.99966 0.99968
## PC417 PC418 PC419 PC420 PC421 PC422
## Standard deviation 0.09039 0.08889 0.08207 0.07987 0.07869 0.07662
## Proportion of Variance 0.00002 0.00002 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99970 0.99971 0.99973 0.99974 0.99975 0.99977
## PC423 PC424 PC425 PC426 PC427 PC428
## Standard deviation 0.07072 0.06843 0.06686 0.06536 0.06203 0.06094
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99978 0.99979 0.99980 0.99981 0.99981 0.99982
## PC429 PC430 PC431 PC432 PC433 PC434
## Standard deviation 0.06030 0.05861 0.05832 0.05704 0.05603 0.05539
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99983 0.99984 0.99984 0.99985 0.99986 0.99987
## PC435 PC436 PC437 PC438 PC439 PC440
## Standard deviation 0.05431 0.05361 0.05266 0.05258 0.05226 0.05127
## Proportion of Variance 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
## Cumulative Proportion 0.99987 0.99988 0.99988 0.99989 0.99990 0.99990
## PC441 PC442 PC443 PC444 PC445 PC446 PC447
## Standard deviation 0.05057 0.04904 0.048 0.0474 0.0461 0.0457 0.0452
## Proportion of Variance 0.00001 0.00001 0.000 0.0000 0.0000 0.0000 0.0000
## Cumulative Proportion 0.99991 0.99991 1.000 0.9999 0.9999 0.9999 0.9999
## PC448 PC449 PC450 PC451 PC452 PC453 PC454
## Standard deviation 0.0449 0.0442 0.0438 0.0435 0.043 0.0427 0.0421
## Proportion of Variance 0.0000 0.0000 0.0000 0.0000 0.000 0.0000 0.0000
## Cumulative Proportion 0.9999 0.9999 1.0000 1.0000 1.000 1.0000 1.0000
## PC455 PC456 PC457 PC458 PC459 PC460 PC461
## Standard deviation 0.0415 0.0407 0.0407 0.037 0.0366 0.0364 0.0355
## Proportion of Variance 0.0000 0.0000 0.0000 0.000 0.0000 0.0000 0.0000
## Cumulative Proportion 1.0000 1.0000 1.0000 1.000 1.0000 1.0000 1.0000
## PC462 PC463 PC464 PC465 PC466 PC467 PC468
## Standard deviation 0.0353 0.0347 0.0323 0.0316 0.0308 0.0307 0.0265
## Proportion of Variance 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
## Cumulative Proportion 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
</code></pre>
<pre><code class="r">trans = solve(pca.scaled$rotation)
par(mfrow = c(3, 1))
barplot(trans["PC1", ], main = "Contribution to First PC")
barplot(trans["PC2", ], main = "Contribution to Second PC")
barplot(trans["PC3", ], main = "Contribution to Third PC")
</code></pre>
<p><img 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S/T5o6ry6XjKHQiZfhLXS6DYzsL/Eks9E937uO9cpp4CnEXgq7xpsmUeBzhF2F/j0yxx20Hi627Odof7fbzcROl1SP4N/cJq9NeYU3w02BlMBBpt4F7gV6YewLUFcniJ2Hfw9gmCRhcl7581YnHFAcnUDaLWssMMOkdC46OlW1BQcEI3n4/NlacDA0b6djFhPi9ioqK70bvc5o3b3427pj9buPGjY2J8xbQo8CMET2nZpJPdOc3cteuXY8OGDBgFQXRo0w9gsjICTNjiI7TEMbw46iPmhZcB/Xu3fsQVNa0EIgz18yJFtYEr5cx9Pz9x+B2cBk4CWwHGS0MqC/xm2CdOvTp1q3bHxg8z4oa3DajDU/QOL6zfQvlrEsLrgRLWPejszO6jvb32zhKUmtHl/xU6lfsuFP9dctAyjQdRE4eOHrVwth5XNa3R48e1+H3o1jlLi0tzR0yZMg64gR+VIi+vD87uKtj6cmQsN6UWT8rzpE9LLxnsMjR4sXEh4EOHTqcwtj1oU9QNa/oUXuNLweyyAyKU4RS9a/e1ZTXAY+wJnin6PrgzQKgfypSJ4Sjppas+rQ7aBT9SVgFlX8Ct2tBR/nXB2EA3c3KNpTvbDOwHghOrQ887e0yMEB5d4OaBLrsLbvoE6cwAaVat02ij8Ra+ZUjOij7BSXkxwJJm4zzYiTS7n9AjPC9EsQCagGPXvSOgYkPA7TBgzm56uUTFIZX3/32228pivuFoTxsnWFP8GHbXyv6aVBFAwcOLCGzFrWSYR3PRL9OYAFxUwjF0MubOr6sj7IPhYosLGMVjmeFZxC+HLSLFS/MMOrW2W2HmU3KurHTfTJQTR+L0GfwnFMtIDwPPXaYEJ76xDXDweksqHaSsmXiqfdaCv1kT7vqUIQXBl9Ecb34WqdN8KE0kYatNDqwpv10gJcY9Uhhfj1iN5+y6JlrNzCFY8dqHxbylpWBrXOfPn00wTf1hiV4rwFd+TdYYRe4nuPer2uLACaOK8jrQ5COE5gD0ZPypEx76sdP1Fajq969YEaZkhI2KOqPuUklzrBENsFnWIWYOcEMcOS6iQG5ODhG3QrhKPYhBpOZWJ3DpF3CwijyDLY2SsGz/a/g8u+1kVcG5rG3vnlRxqeetThLedzl/aDHaT/XZQq369evH84C/E5OmPTrqTr3S4BM4THddqTc0NJtkOkzBuJkQKvsWpsQ47BJb4UndKzHgqUVu/agl3viyDL5KOS7jUk+IXuTzy2jUuoXB+8CPRJxRO8C1Ph4xIlc05U34luycEvH0X8Oz+J1qlPtpIXFoI6oM+ZRCS8FVmBT7+7du4/mkeYxNXFk4bXDQIOe4HkT9xu8ZbtvAlS3J27aBoIE8rWoVRnQm9NLOfKM9QJV1RQ13LGbvRzo1x7JynR2L9cmmzgN6UakQUdGqWDS+AaLEO143e++NGfyvAq/rCSNbTxu3LgS0uY56ZmQlvPrgBud+2SvvHx42LZt237JNY8XdfW8PVUZwY7/cpScnKqi2krPkX/cWdHfzuAdgLvjThBfRPE+OL6okVg6bYjf6AQUZ0LUBj3Bs4tpQ4OM/FQnVmXwT1d6KpwJ5c7du3c7b1Pm8AzvTLwrB4pYOvZSmH7aVx9fSsvXUSc7Bi240iIMyicz0H8nWWUcly4n/ZZk06eSbseOHXrh7jNwRCp6Mi0tfXN8z56Rrud+oXBwp06d+mOr3zPStiwIVhE2IJGyMMls4BcleoEzJcHevhxTb01JiScxbSrRl8lEWMpl8ZgRyi2cn0QfPiqdytmwXYm+WSy23wRveXR3ZAz/OX7OyZ9+FbWMvr+3Htl4zEv/bYOe4KFTnSdmB2JCH1RWVvYLPsShVflGGsPOaDWM6Nev3w24k54UonpSvagzF/opYdK5F//5PmHpmvT7oDttk6zLzs64a/v4OMx/puEqWvqdLEBzx44dq12pXrpqQxs9yC8XBrxv0ob1zD+WiHc9/mjKAvg9FrGjYkVWGPGOI8/1OGt8UYvHEocSL+4JyG9HyKSgbP2kW//+/dWfEzmV89OTsX4c2U+A7/2CDKQeZrNgeSEoPJP8qdu09zkWRHksCpdz+tOMtlulPdL+fwp/V8CB2rekGe2lBDvcC8g9IYn9VYPskViS2okd2FPSkL0G6XPANUD/bEar7rooedGPUFSznYEm5uKgWoIQPOjMz2CH7/M+djM72VEs9WSrAXY+k4KeO6YqX6H/8VSVkF42VQor+y9ZiT9d6eFx8F2CT1hwuY9tK2Mw+L1BJ74TjyqduzJCBjuoE3174SRMjHlkyDNe/Wet2/2KwlHz9bSJJ11hnXCrnZ7AYvVF6ku7lkBhh/N3+J9NhA7o6o09Ne6wiDOKQVUfsaqxTbHAeBj79Fw5FNGkkaLi3jwC0KK4theYcZnNpPUX7FP79hUW9UuJs8k3MA5P+t0faSPj4ojqRGmGw+80xQnPpKu+aeL9rkTK9tGmT0HJYqA5L6MkrAleK/TJYAl4GcwFmujHApM0MkDj2kKnFs/xSocxY8asYIJsHG+CoHhMAF+zI9saFB6n/zeI9waonEiYAFajN7AjsjrXEZtQRRiYzmPwG7lp06ZzcP+uSmDwjZ7nBwrcHqJBLygCYfti7+lB4Yn4c9Q+YPDgwXeR5uBY6VgINGUS3t8vDhNcOYPYLldYl5EjR67k/mjKsoPFYMzFA5NDKeVZofTRnbLvhEnYNjj+kZNPvBOr4pE2qZfDsOtSytbPydN9pR9MYdHzQ7dfEu6u8PoRny3V5B5rR6YdX1ynBNh8BxiahC3VktDffkO/HcaCyl2/1eKl4DGATcFpnALEzSM2/ZWF48g48mzC4vFf6Ff9dYsRXwvSlIQT18b0kS4pKak58TCiaHEj6cJnhnWCpp+8ZpSENcH3opSa2F8CH4M3gVadQ8DekljP5fSsOm6hAWlymUojasI1nw6so/pUJkylDdpxyn84GA+c3VcOA51WjYH1h01H0/EOJ45bxrhvMsSdE/3PYNUm7ETtY/D4Hmma8xOi7QxSO5SeHf2BDNprmIyeZBLwnnTobd91oKvi+glpJzEpnYueqX7heuGL8Jv9wpLxw0a/wVs7g8pdEvk1ArlM2Gcnk0dQGk4GcplA1HdrFE61dCQ/sIaIzZh0byGO+omkL0i4ntW/WNS9T11cxALkuxFNnj8sCLsTnshE2oz+G9mlU+as1atX6wt9Z9J2cplAg2zU44oK3gG4E5ue85jQnPSnefwacZp0IgsatcsJ3jDv/fbt22nC+e95/Z17ytcfXYF93omXwnUO7UoLXt9FnZ9ebCqg3IGLcVeaLrTX8XB+AX5LwWBXWMS5c+dObQxXAI13qYgm3pgLBRYbT4NfpJDJTMYUte2MlrAayzRKrQp8BNwG7gUXgydArQmd8J+a6MhQL1HMYZCYzbXKREqjUkP4C508j6tbirjx3e0QN6dr166aGDQQjOdt0LO4ehcQueR3Hv5evXhVivjfl/R3MUDNq/SNOhgc9qFTzEXPDLw+oixPRYNu4vm/jmg16TdiwdGUsLuByhkRxqiD6XxNnXuuGlw/AUE7j0LCwmoPqK4uLEC0sElnnhqYqgxODCj7dOnSRYP28Uye2QygJew6fkW84QxmLw0dOnQN7shAz7WaEKecNPrHQxo0/KQM3fEMcH5p4/UroR383B2ZQbUA2y5y+6XgHsrpwa3URzN0ajHhlZEMhgeD570BNdx/k6P7ScSJnNxh82f0He1+ExIWUT2pgyHYpr5bpX49iqqFkV8Tv4UQg/O56IsseImTxcRehn39apg/+3H6VUL8PM8picw4hH48imuV9kwejfi1jhaQH9JPeyliDMlhQaQxR/2iRqFtZ7PwvISIiq9FlF/d6aeYN8LhaYwnp0aVtsRPY0HlKQV1+wD2l2Kvm8OgXbDGEsXTGBm3wK3SNB8/fvxyrl3hUX2qFadg58JN9pYtW87ed999V+JXJV/611rGwLvwr8It9xItMqs8GhLnQUKeCmpN/Q1lfBzpiScOh8pP8ZgbeuH0fRRIe1lOeylTXAl1XMAYHrg42xOr9v/mhpRlOXrPASJMxzEbwVoQJIo3whNYyP1Oj19CtzSow9mVaPB+ncmvlEbUh4HiQQazGzS5gBwqsQedfdvSpUvV2AbRaQpoaNrRv0albee+Pf+5Kp+0jekkzdGnNG3ZSeRu3bpVE3y7NWvWFHAdrLSswjUIHQQGMSfcjC5x/D7QtS06rub6T+JNpYH9CRv3Q7ca1Bb8J9JIzsHdHxvPoqGqQ3YkjY5dy4nXlPib6Jx55FlBo78YPUcRRxPMGZSnD9dDwfHELUJH3ubNm9twrwG2iEXB2vnz53dbvHhxc/JoyVG2uNGE3xK8Qh7XUrYvcC8ifUtsd9LiFenQPeFJDV6LtxzyyycPDV4TQCm2j4Wzf+D/UZRDDaCKL261GFHZDwNZxGlCGSZqoCwpKVF4P3AcKCHvfOxoj3scUCdSrxwsm7BZb0rvVj3wk6RepJ9C3EsI30l4c/TmwFsWvMiukdRJN+JpMszWQEudlGGz6mcHg9r2JUuWqL5OUN0RrnYomzWQaCedi862hOWiQ23iVNKq3fTAPYrB+HukmUjYBtmEtONe9dwTiJNhYBP4CjijjupK+rOJ3yJaP8MoQy75tBe/1PEB1PFd+PUjztcsUFbDp/rHCei/nnYjHSpjK9pGLvHarVu3Lh+/IuxVe9WANwY9b8HPy8STTe3QkY9bbXYseTWm/epE6EBwKrzsIKyxuMNf9T5MZcFPu8+b8P43ZT8UfZvw30TbyyNf9W3Z9Bt2wOqrKucRYDvQgrfrqlWrtMgcCHT0v5x6K1K6qL0P4y/eWkfborj/hPAt2NcdNF+xYoV+U646aka8CpUVvnPJs/GGDRtUriGggDDVSztslJ/qZyz3Kkcr4l/H9RMg3oui7b+F2pDaOGWqwJ0t/vlgSz78KZ7am/qz+sZPwDzQi/bSgnitqLcIx/g59dobXXnwlAfvWdJL2FjszcOOTvxzp83YewZ8bMNf7cKZxNTuu2qMIZ3K1Q57OpKmjOv1qjPCNdGMU76yWRww/uRRruG04Z9gy264nYDtpxC+FG4PIu29xLuTSUgnCJeqncCx6kXteCf2FJFuEmXsSj9shb5OpM0l33Lqvydp1ioueaqCPlK+alv4HQ8G8Xv3TWvXrv0FfE/kXmNBBeER/rmKf9WluJNbG6uu2KM23k78s9i4lLIeRj5l+H8fOxujszQ6vgwifmegsSiLftaI/tWXNlbGfaSNUxbxPxZ8jK7XuL8S927y7oxNeYxvWfAwmtMWsilVOx1JWBds1inBDNyLcR8IT9so2xnYtJU+dzmcHEJZ5uKXTRsfR75nRW1SPYkTjUVZ5NEY3i7EvQJdfeFMc0BcCzPi1UtRwzghoGQi/WYPXuH+0oD4cXlT8dcTURVSwQD2AvcPs1pcTKMqp0FvpgIfj4a9REd5jzgVDJ56RriT+3mEPxsNf55FwKcKI/0/5EeH+gwdz0fdM9GtFzgieeGnBU4FE94U+aEnopeV6Co62vsKE9A3i3zuB/fg/0w0zSzSvSM3g4XyeVzhTr7k+T4N8R/gZfQp/EGFEechpSH8c10pQwV+96GrWPcCNmqQ0/UDpSXudK7qNBXoU2dSul3igQ6n8HXyc4PONkNlVZlIsw4bV7nD4WmWeKJjaGJzp52LnVOUVuUij5dxP6o44klXONguveS71ZNWYetkE3FVT2+SNlJ35DUPv4i9cL2ZPO5Gxz/d6bH5EXGkNNj8lBOGnheJ+zA8LXfVXaXN8lOecKyJSGVaT/pInYtfcYjuf2LvBvSUKA46Zzr6KedsceTcO1fpVDnFE3lskT+2aRCMcCHdhL/NzjPS1nBPd9KKN8pyH7gHPaXkX6ww+PlE9giE6d2IctKtUBhpPtNVtrNL+1z5Er5DflEUo+cetRfxhE0R/in3dOJ+Qvn0IqfKqrYYaae4NeFF0kdtupd4U4mniV51vF5X/D4hXOVTnjtJdy/+q7HtUfwfcuoO22RrOXnOJs2/lFbA/33sKcOuu9ERqVf83gbqE5H2RNnL0RspK3pnKB11VVl3cBKxydGJ/o/FE3k9Qv4bSbuUdE8qHJtexP9D2av6x08nOCudtMSbprTEW8g10necMPyeh5/J2HUv7shkgO45Ub0vkfZh+Nd/ilM/i4wR8BTpJ9G094t/QWmwcyGI8E0ZI+Vx2gR65ysO9kfGGNmEvc8T/3ls11gQyVdxiPssOu8h/BniRcYf4k1VmPoiOueoTShf0j4if/L7mHT34veZExaNH2kb5Pu60lIPz8kmx2buI+OPuFObQd8a0kfKStisqG61E9n1qJMOzmcSfj96X1IcwlY6PBFnHnrux6YXVE6B+MXUi+p9qeI7cPRGbfo76R5zwmQv8Z+E6yWk1Rh/D/f3ke998PGa0pLXAsJ2EfYP8n9CabHpIxBpw9FylRNvDrrVHiP1p3rHpsu5b3DirHATLfg5JDgl0USe+IW9evVyOucBCmOVqMa+jIoazu2wESNGaGD4EX7XcJy4gsqfxBHuAo5gXsR/fz6KsYzrSax47+BYXo2pEZ10Ge77cR7NkdJSKvYRnkluZXJbRiOcQ6P5B0e/GvDPoxG8Q9yN6FXjlhRiw+rRo0dvxP2diE/wn4jNAcGR3YgrrHvfvn1VrgdkE/6HOmE09sXYt43rrfLDvisUF2dP7HuFsm2igT7DT630W24tHioo/wp2jtMp0w7iLygqKtowfPjwDcR/SGUlbAfQxNEP3tZwdKkB/Wp0/Q3/pVy/QMeb+FUKvN1M2EY6iwYnyeBhw4aJ/7vgQ3ztSz3cSx4vKzAqA6LXfK49HU+uVF2k7u4aNGjQamzUhJ8bDe8vmyiPbDoh6udcetAmlKcGBe0AGmHnU5RzCfwskX9hYeHWffbZZx119niUpx74jwS9gOQkyrCGF+Kkpz9lnUG53qcdPMZgdg5pl8KhBuZ86v599M6lTa3Gpm2yibT3weEW0pWA2dplwP+/xAGDzF1wIi4GA0eGYNNajjbX4XGM44nOeeC//COk5dT7TRr4cK8kzzexpxS9U6i3ZQxUt5NG5R1A23sEO6W/Fza+i/s4R59zxaYvZRM67nH8uHZz3HC1lDL9G5vWRW062gnTlfyXUR9P0XeWM1jeQ7m3wHEp9b/AHU9udP0WPepPH1KWHVyfxfsg0qznP85pktTJjyM9OYVajt2XyYP4v6c827BT6T5iwSNuryZIE8AudG/G3Y14XxFnO+kWYtMK2USb0TFxX8o6k7T/xU12o8TL90h3k3RyXUY5i0n/Gm0m0p5Ie3G0L7cjbnPCV9BGtuL/d+4rhTQzSL8L/U8RX4vnQgXCw4PoLmWc2Em+W+HpSfFE0EkKdyQ6xkyO3l9Kuq3RsUzvlbxLH/lDdIz5Oy94rWXy2kXcVk56rvvQJ6X3Wpef42yL40heJlxLH1qHjS9SDo0Hkr5wU0J5LtANYZXjHmVyxj0FTWI8UPsfqhsJbVpt7THeqVmqvkNdKf772FaOnh2U6QHK/TX1dAV9R1wPUDrxrHYpN/J9XgpdIZvEE3mWUvYX9gQ12leLY37atgq/t4lTCt4lTG1buC46nuhUx5HB8LaWsm6OtqdxBOh0paMTQVfK+zPZhL1vYOfCaFjlGIOOzRpD6acrCV9C/s+702eqW5NEGKJJ/XqgSVJEaNd0F2gOalWouDJWZzeQ6XtOxgyiuzgWmuncO1cGyDKOWl5z7pO5cqQ3kOO2Pyot+nZwJHUVR0Xr0eseqOJVXWmzTwKtip2GGAnmqEj1mdCCiqOto7BxK4hMjuh4jcniaY61Ivd0zkZMWl8sXLiw1bx58/QW9iqvLZpYPv3009b4v8XxVjZH7pWTgTcuujaju5/XP3q/C67OxKbKSQz/udEw7TgXR91VLthbBuc34bm7SkDADTaUMbBeSfAnisJx2wLqZwfHetl04HfwKpU/4lzl1mJmkRzIs5TzxNmzZ3fAvUYe2h1wRHoqR3sawCo46rsTb9ks/rZx0W4vpqAzobpzK6MOVpHvBdhRLR/40UQp3REuqUO1nUXYeCA2q49WEfx3woXiuMWZABpRRx1pLxuKi4v1oShNLCkLx82l5KlBWjJr5cqVG9VP99zG9xf+2tC2NO4cQDu+Axu1UFyt1KjG1Czt7r3lUnBEOA5vHHX+i/jaGFQT2so82oomEHG6xYkAx1UWL7QDta9IGYg/FHex4jLuzMEuTdI6AdkgvzjkWepEXETqVvVGH6lcfDGpqr72J1ybBkd20ie7cBNp445n9KqFYiAPnrhBt4tnzpzZicBNARG2y5+y5rDoElc6gStlfOxNPWjhHSTbPvvsM+n1s+9DdFxD+sp+TruXW21bqDIech8kyr/aOBYU2e1P/uXkn1C7dKevbXdYE/xYCqLB7TgwEXwbaGVe046VKGmVcialLlSIVvK1KgwEkQmSQeMdBp1CMncGg00802lPh6w2EKdo4Dqe762lQ1VbuNSkF1vfB2/r+SJxMa3iHgYiDYYRYfASf0MpRycGXacc0VBetOAnbep4eLzHc6lLuA6qDNyLDsrTNJ7ssfkyytaXSWE6/L0dTxomEy2+csA60uh9DO3oJNs++OCD7rrqRmFMXu6dlbwjQn6RNqIbON7EImopzvkMgnmRCK4/8FsxZcoU7TwiE5YrqJqTsuQxweSh35mwqsWJ5UFZRhCuQdBXaB89mOR/QuDhMQa7HR9//LEmmLj6Hs+nj0avM6muoT1eSlq/Qb6aTdjbiH7m5ux9JsCL9EyayDqe18S6AZ3a7UWE568Fjjt6nYXf33A/x3UKE8f7nnAtBOMeL6MLJ42BVYTnyDdSv19T3m4EOAuaKnF8br5ikSjb4uIjml4L0vHgxeh9tYsW5jNmzFCbSkSvo+dNHF1BtUV39J2aSDwW3rdg+yT6gfqCu44cPd6rTr72xbbIYoU2rPd1Kvsx7a1yQcFCJ5u+FS+HjZgLNL4lJfQ/bf7ySRx3fklllOZEcTfYBPMtJv4ooCMY7ex6gCPBdFCbosZ3IBUT2VHXYsbzmWz/RON8zCdPrZ4nMAine4LfRjmH0hlme/NkMGlF51LD9K1vOuG3Gbz+yK7pZOI8xeD9Cp3nMI+eWZ77Krd0yMhOFk8tAOZUCdwLNxwR7qLcD5L1C/FmT/zjmBieiDe+E4+6PgUOj4/ea+IfAyITBPV8A9xcShztSipFu1MGp7WqGyY2/eZ8F5zr5bfnly1bpkFsWWVkHBxtaqeixdPHbn8/N/V3EXom0xY0CIchmoi3xlLMyZkWCL0o10Js0VvGGhxjiXbw8U4CVfQw+K6k3g6t4um5gb9PaeMfypurXuR7C6eb453wdjV+ar/VhL6cvWDBAoX57YirxY/lga2Hkb8WUXELHC5CtGBKRKbGisyxvE6ofk77jPckwauuxOvBQrWEvnAfOr9WGIuZTynvS5R3Ku3xOW/8gPuPHH/aj2y7z7l3ruhdTXuZz0LK6XdOkO+Vsu5ifLyBwBr7j58CTklKKdsrhNWpCb5yB+FXqBT8tMu4BkwC2s1oNfYy0KqytkUDbm3Lbhr5jTEy/WL58uVvEC6ELnSsQjrZi6yka3r8UC2cgU1v0TaLYeT6L7/8sjODbMwFQIz0oQSx0pdetbdyTwabv/rqq8502Lke/yq3vFVbuWuoEuB/84XHe5pzzwT+fNR9NNd/gsgiiwlwOwOO/LbwPHVGNI4u2sH3dt27nVocxiObmKzOJGIXnkWfGk+CkOIsll4WW5tpQ7NoS+1j5cOpwwwG9P/EiuMXRhoNuhpjapLt0VOFBdTLSTVFdsIZ2Ldw6nY69+of3vbkREvkWm1irCkxE9nfiSOkW+bBe3f4SHp36zaIuthN27uUR2CXu/3Rf4Jzz8S8gMdbnbmv3I07Yd4r4woHAiXO8/nKYPK4jJvIIqLSs2ZHwoszFlaRgcStmnasX+okMj64k9eqO6wJXoXQoPfrWi3NXsgseqydaM5bWQDU5sC7nt2hntElLCwKShicf+dOqJ0WfvS9SPPRzl3HaO4ocbv9OlDciaMROXprm0Aa7Qj086igJJt5tqyfM95O2bVQPTwoYoL+C4nvt/pXHn7+Car3j66dJyE5/qEp+6748MMPddS8PJYmTcAMiNtixVEYi9C4dmMuPVlMTomMYTpBHAWS2Wi84so3o5xz5sxJpP1Xs53TpSvw/E21gJA8GCu0UNJib21IWaRL7RLGFi3o5nsUPsy4lUwb8qgJ/1adv0ELK+MmKRDwDhPFvRxHuY/6UlCXlqQLooNucTq0MYkvY7X8gVsXA/Zm/L2N3h0lXncJu2l1oJi76RqUvc+OV7uDdHU47Tp7oPNCJqV0P0apoShpD17HQnIWA+pLade8R6FObToC9wlESFlVV8vk/gB9TwunRCRd7SSRPEOLS/k/4SRIC6OYx/E1GKDVeeCKt4a0yQZn+uSucq3jcU4XrqvcheQdjSt5l+JJt1+muhv6BP85H9L4CZXzUJIVtJWjp18yESS3fU0y0xqSabLUsVKix1c1qP1fMIOKJr54jkT/l8jftT7agRI+svSo+7fnPtXbpakq2Evps9iNuY9adzDBH87OuPKZZrx2oacrC4MdccTXCUQsWc0jHL3omvbFEovzmSw2M+rRUCwivGE8pusGx+noR696ddu9MSAGGvoEr7drn4IH7SJTEjpqBTvdDikpscTGQAoMsFh6gqPDh1GxKAU1TtJe7FIudW6SvXISohdN9dOoeBYLyWaTkek4YWjM+NI6hnEd2X0nu7nQC4n1evzmUaC+1tgyBn+1FsSjrmrP4mst8xQyqtcNJAVeEk7KkfVGGqSeR5okzsDMadOm6aWbdD3q2KKXeKiPdOlLvETVU6zhxb12THS7qgelzWclu9pz0bYzDRoXo6PG5+Z++bAz1XfGnSNfvV+Q6DG6n9o658fJyTH8BHNSDMN1+pHs6d8y3qrfwMTzdgz9dTqIBdIWxtWbEyjEgs8//1y/VtngToOeVN9B+ZTxpCV9t5QFmfuEzJ1NRroTeUElIwuQKUbpRSJsqem4MlPMzTQ7ZmNQOlfIeumrO7unTJrg9czxG7STx9h5LdX3GbiPHM9iZ2Mee2TETgWb0iHd2f3r5cuGLh+HSMAmJpsBIerf66o1obJAujsBQ94lbjuwzpVmLierj/JlRL2nkKzMps82BYfz0bS5nCokq6fW09kEX+uU7/0MaagreLmtK5aE1lJ5N6GTfgoWYmm38pEOrdaDXtbJpMm9Cg1M6Pq5TuWCBq6O4j7hXS71qH8O0qyK8sy4ySjumSR68LOtJZlBjVmRIgNZ+gdEMXS4J3dFK+MbDPq2xcQYaeIK4jsh/yGiUGfEJnifquKYsy2/TU726MxHY2Z58ZO5B7BIP/sJ7cSBTjUcpOOoOIi8rwgYBOYERahD/p/WYOvW6NFjlZcRmdyv4bm72ukfakhfb4Mpfzk7NJ2GBAoLof70aeeRQWA8C0iNAY7Cc3k0k5+altip2T3rHwTpXSdbsMWmKhJqE7wPSTTUfvwUopSgEU4wg0SO92tkTlgdvOqN5pi/XU5DmapMRmnQ56eiPkzufuXy+hXj0QdU+WUEO/+H8OsNGqzwKODHFL55DQQsCgrnGXYei4Q2QeE1+WtSI07laUxN8TMpnC8pJjT+s5Aq4J9BBU6snEzdAR+Ph1xGvWdyRch51Bv1CVVwvSm1T0GYwLfwLXAdW+slKOf54Uq+fCW/RUzul3G9D5gYA3uDgSqT+94wIEPz1NfQavwiWpDtTEoXsuvcHBRekz/prydOXZxwPuc9EL1EOcNbRn2Zksdr1RYtnBi1YRz0Rq+8ZwHwm8obc2QEA9kZYUUGGMFu6C+Y0Q+4j611DKzV/TSgF6JS+ZgEyU2MAWMgkxjgOwGv+30ngElfXztsVZOtHBn/i5fB0v4bf04m9B2CnTXln0L4CmzX6Y/3pE1j3sGcatyRgm5LmiEM2AT/v4rQzl2N2ytVfnLhDWyA99k8voj1kksDpMSKXN8YYPK7nTemtTvfW9KL3fIv9lLm/yXftC9a9lJZ4s3W+T5+mD9jjdeWtMVrcBO8/qsVb9X2ShuDKOI53lp+k9otnTozVRc/zZnMT7ruCPn33JlafLOrgTDAc953wS16Rs+YEetjNfpYlh51pvtx52J0bm0IdHNSofcgWuzNspK/vgao71TUqw8ypbtRJltHes59qyexjsuf9/ilfMvk/n2U1Hj0lkhGPHv6M/EfSSRNXY1LR1gALuedhU94ocZ28glWJINZtWebCapoMNGZOHP2dmF5EW0SNmiyDZKlPN67lV+m3B8UwfxjM8DjkAs5MZkZO1athHp/YlcrmYaZSaZM8Hpz41eegv6A+zB+T6tKTHdF6lgn7LfSPfSEf8skng2a+OXEs8sj8N/rA7CfbRnsN3fWrFlqK9Mz2MZMMW0aL3vlYUzC3wdIZwFYzL5eg74y+sLva4hjwTEY4B0Ifc7YJAQGMmWC303ZvBOkXmrTYGiylxhgt/lv/ee4gOzXB/ibdzADqzjuTevjoeCs6nzIAtpf2zpfCitAJjCw8KOPPuqGIfMywZjatCFTJvjaLLPlFScDvEx3eZxR44rGgN2I77Gro5mkkQEelegkxY7+08hpbapiB9u4NvOrC3lxbJ/N6Ynv6WES9heTpkH2jwb3kl0SjcOSpIkBXlq6DlUj0qTO1OxhoIT3Sj7hUcoLmUyIBmyes+7VF6kylJ8ZfHr1DWx7O0PtS8os6nvH/Pnz9W6VTmcTFl5ufIHTw7cTTphiAhYVy/l5ZL35BYHt4JNoEOyYtOK2F8wS507fps+El2kStzxzU2znGfCxmWveHss4vbmbj6cMZvDMdFNr274t1N8ptZ1p2PlxKvFX8tDCxfvoNa6s+e67nsvX+rN5Fsv6b4z1RmyCT6IqeWt2Isnsy2JJcGdJGiYD/Kb7WUoupCQsFHTqaCePKbFYK4n1/pQt5muF6uBMbIIP5iZWyEexAi3MGDAGQmFgNT9JncXjiJdD0W5KjYF6xoBN8PWsQq04xkAdYyB72bJl7eO0WY8jDoszrkUzBho8AzbBN/gmYAQYA3uPAX6pcQvP5j/YexZYzsZA/WXAnmXV37q1khkD1RjgeDuXXzN0rBaw9zw28ubyi3sve8vZGKi/DNgEX3/r1kpmDFRjYPny5Rc3btz40GoB5mEM+DOQzX+26+AfZL6ZzoAd0Wd6DZl9xkB6GVjC1/SWpFelaauvDPAb/etbtGjxCj8Nrq9FrNflsh18va5eK5wxYAwYAykxsJx/pPNcShos8V5jIMwJ/m+U6l3wy2jp9PbrT6NuuxgDxoAxYAwYA8ZAiAyENcEPw+bPwYFA3xO+FOhbwA3ye8CU28QYMAaMAWPAGKhVBsKa4PV5wgmgDbgR6LOuPwYmxoAxYAwYA8aAMVALDIQ1wa/F9ntAv2gZrub6PlgavbeLMWAMGAPGgDFgDITIQJhv0ev5u1v0TN7EGDAGjAFjwBgwBmqBgTAneK/5+gctegbv90amThJaexIUcL/J42e3xoAxYAwYA8aAMRAHA2FO8J3J/0TQCawC+teB84CfdMHzL54AfW3rnx4/uzUGjAFjwBgwBoyBOBgIa4LXl48mg9vBp6AFuAb8CXwCvLIMj5O9nnZvDBgDxoAxYAwYA8kxENYE3wtzXgYvuczaiXsI8JvgXdHMaQwYA8aAMWAMGAOpMhDW79L1TF0v1enncTqe1w6+LTgdbAcmxkDGM8AnOk/csmXL4xUVFXpctDHjDTYDjQFjwBioRQb0kZs+IN7/91yLpllWxoAxYAwYA8aAMZAqA/enqsDSGwPGgDFgDBgDxkD8DIT1oRuvBe28HnZvDBgDxoAxYAwYA3WfgaF1vwhWAmPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMgVpgIKcW8kh3Fqeg8HJwBNB/oVsBWoH/A0eDD4H+sc11QHGPA68AfTJXcYaDD4BXDsOjB1jkDfDcKy/9Z7yfgoFgCigDB4BfA313/wvQH/wWKH996GcGOA2cCfR/7pcCR/Qp318B6ZgJSkEsUTzZoH/Hq7J+BfR/BS4F3wOzwQagMl8M+gH9Vz9JAfgFeF83Lvkm7guB/r2vbI0l+kCSdCj+BKDybgF9gZtj2XQCOAusBqorlV/34sWxE2cjfdb4diD/UeAdEEv8OFD8U8EFYD1YDu4E0inom/KfAS9PeEVEbeNyMBioXmsSlVftTJyrjqcBSU02TN8TrdH+XFXWudF75+JXR0FxnTTONahu1G69fcTbHr315+jUVeV096cKd6DHHcSL6szdR4LafVBZ/XjxZF15K1tVl0eAZUBtz6+PHIz/L0Fj4NRDUD5HEkftvin4EsQS8e03Tng5lq7zwclgDtDY8A2gfGSHOx/Flb/6vcqzCsSSoD6iNOqDJWAz8NqUj99lQDbNArLJkcNxqP+oP6nPLwJBEtQWFb8IqBzqj371Mgh/1V9/MBW45Sfc/BisBarbWKKyXQe8fVRp3Bzo3m1TLvcXgeNBMdB44khQu3XC7ZokAxqQ7gKtgQbUV0Ev8CeggVId41agzvokaBsFl0ZPAVWMOog6v1smcTMTSH9N8hoR1NHVKI8BD4AC8AxoDiaDfuBscBKQDc2A7Lwb5IGXgFt+y80+4CBwpTvAxz0CvxdBT6BJ8X5wOPgB0OTZHTwNFPY8UH6a8JR/IXgOqAxu0WD0KFCjvgnIlljyOwJ/DsSzOuIbUbeXY/EpHsTPb4BEPDn1ovwcGYvjOqAw2RNLgjgYSqLbQUvwMpB9Tl5/w30Y8PKEV6WobYm3a8ERIJaoDf4XjAQ5QIPexSAeG4gWKeP7XC/RjUsKcXvrSHz4xXUlq3QG1c2fiDEKOH3Erz16689R6tefnDDvNYgXvz7yWxJ7231QWQuJ6+XFm7dzHzROeOu+OQnUR1TnfwVDQCHwy0f2K47q+l+gPYglfuOE4ns5Pgc/2aV2+izIAhof1DceAF2AI+fiOAloPJHdsWQEgS8C7zihNOrjX4P+ukG8Nn0Hv2NAN/AEcIvGsN5A9ua7A3zcQW3xQOK+A/4QTeOtF3m/AJTHT4EmZ0c03mjxoTb5luMZcA1qi4ru5cBr04nEEd+aZx4FbvFrt+7wjHFnZ4wl8RnyfaLdAjYArd7uA8cCNeLpQI1mIFBH7QAU9xCgclaANUAdYwJwyxRubnR7BLg1eUpeBdKnSaQTUH4zwBYgPw1aI8HB4DdAcdYBNdjzQAlwy8fc/BCcCj5zB/i4T8ZvMlgMSoEa2+lgPFDeS0EeGA5WgNuA8l4EdgF1JqVzy0ZuNCjuBhq4ykEsOYrAv4Kd4EvwKRgNvBxrQtVAJW7VSWRXXyCbVd4y4Ij4GgBuBoMcz4BrEAfjiK+62QS+AL2Byt4LyLY3gJcnvCrlHFyyYxSYW+nr7zgI7w+A6kvl+B04HsRjA9Ei7eIvcnjEr47UhvziepJGbv3qRuXx9hHx0hY47TEbt7f+8IrIEP66+1PU2/cSxIvq3dtH/Np9UFn9ePE1AM+gccJb992IuwCoP8wDY0FQPtsIOx8cBzTJbwBBEjROaJHg5bgffp8A1UcPoAl+JVBezYH6piN34tAiQJNbC8cz4BrURxT9IfB0NJ1fvT9J2IfgQvBONJ5zUT3+DFwMmjieAdegtriC+OcAcSHx1ov4VZg4mQ0mAEe+xPE78BMw3/EMuAa1RUV3c6B7r03SfQA4D6iPu8Wv3brDM8atyq1Loga/xmOwBp58j98q7i8B5wJ1dnU4pzFpUlIHcYsaTTzShkglnoiatLoCZ9KUftmjTnIV+CPQhNYLKGwZaAeaAEc0AH8FisFQEEs0KC93RdCAIA5aAscGTdCtwGBwBVAHGg2U9yYQJFcTsBh8EhQBf3U+5aNJzS3iwMtx66jfDVxvAblA9aIBQjYfChxRp/k1+CUQXypXkMTDwQ4SO/V8Pu4/R5V5efLms514qmPVSSzxtgWVTX5u/UE2nEq894C7HrmNiLeOYsV10jjXoLrx6yPe9ii7vfXn6PX2p45OgM81Hl6cPiKO3e0+Vlm9vPhkXenVHNeayrs9Dr8+Mo8g9cP7gdqi2ktN+Wwmjuq1LwgSLweKlwc6AS/H9+F3E/gHUBuS7RoflgItNjR2uaU9N4+CC92ePu6gPqKomjQdycfhtUlhakuzwL66ccltuH8FtKg/2+XvdcZqi5o8VTZH3H1GY5fwDngQ/BiIO7dItyZkcdPUHeBxe+tB/MpP4uZA916bBuK3GhSDAcAt3nbrDssod3ZGWVOzMe8T5QSgjvhd8AOghqBBWR1Vq1qtrNVBNHDvBuqwiu80hF64vwbJiBrFPkC6NGkeCjSxqbFLr6QQSH9PsA1oEG8GxoAngCb+YuDEx9loBFDH+T04AMSStwhU2SXfAT8B/wXFoBA4sgjHTLARTAdqsLHktwSuA9fHikSYJnbFGwQKwUFAdfIB8HJcHPVXR1H9FETBJTKwa7ByRDxq4NwSvaoTB0kQBwtJUBhNJP7FgfR0AxrMJcWgEDhSEXVkcf0pmAHuARNALHmPQJVb6Y4GaosaEOOxQWU9HlwFTgN9QZAkEjeobj5BubePeNujJh9v/Tk2efuTBuQgCeKlmAS9ookKuaqPeNt9ImWNqvK9BI0TxcQudKXQuHAfUL3/B8wFQSIOvgXeBK+DoSBIgsYJtQ0vx2p/Z4JzgCYZtVv126fAi2AscER1dD+4AHzueAZc38Lfb5zwRle78No0Eb888CDQwkhtXKKr+mw5+Crq5uIrsdqiN0ExHoUuT3HyEfgxUF9014vajCbYZ8AS0AUESVBbDIrv9j+Ymz8AcdARZANHvO3W8c+4a27GWRTboOsIVgM/ERRFo67h+hdwB1AnVJxioIaxGKwEaozqMHeCHkCDcWtwLbgIxCtqtD8CrwFN3IPBFKAJT5PY30ALIHvUEZRfKfgTmAY0ie8HJGq0t4LfAzUiheWDu0EseZpANfBXgOKrgV8CNCj8Fki0kJgHVoAbwSAwCXjF4eBRAjTIvQMOBrJbA1mQTCJANov7IaAYSLwct8LvF0B2St9acAw4EGSDq8AZ4GsgPsXFMiA9u0GQBHHwKglUB/uAYrAR9Afi2hG1CzdP8p8MJgHV2R+j12u5xhK1KbXFt4Hy6QMeAf8GNdmgPCTiYTyQLqctrMLtFr+47nCvexIefnXj7SMLiOdtj9760yJHg5nah3hbDJz+hNNXgnhRvXr7SBv83O3+hajGeHjxzTzqGTROqAzuut/B/U/ABqA2+lfgFaePXETAEWB/oHHmbBAkZQT4jRMF+Hs51uJTdSMbHgBfgLPATaAr+Blw+oh0qo3eCDTJngKCJKiP+MX3s+n3RFR9PQsqwGQwCcgmtcnGQONaLJlEoF9b9Kbx1ovCDwIngI7gPOC0RfWxf4DlYD3Q2BEkQW0xiwQqUyzROHw12AzeAOLb6aMq021AbUbxTNLMgIhVJek6PKo7h6vgFjVCt3jv3WGJuptGE/TnqkFA4tWfi5/sdIs3jhPmZ78T5ndV/Dwg/WNdEbz6xVFY4nCgAa93NBNv/vL22uAXJ5o8UibHXdM1Xg789ATZEOTvp8Px0+mEZNyeS+RvMnpcyVN2+tWNXxvz2um9dxsSK8wdz3HHw4ufTU76VK9+44R0esvhbZ+x8vWmjRVXYU499McdNE5kE6axwi2J5uNO63YH9RF3HLn98vPzC4rr1ee+dzhwjxPucMftzS9WvXjjOjqCrn5tMSiu2z8onzDbrTt/cxsDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDLrExKkAAEAASURBVBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxkCjb8LBf8FscD3oAZKRcSQa6pPwEPymRv2v5fq7qDuei1vnYyQ4M55EMeK49cWIFgnK4u/lYAb4GFwL8kFtyZVkdJsns4O4/zSKKVwfBt2ApAW4HcwBz4GTgYkxYAwYA8ZAA2VAE145mAxOB58DTRya3Bxxux0/Xd3+ckvPRAW4RP6F4KdRv/u5PhN113Tx6vw2CUa7Eik8SPzCvPqctH5xFXYY2AUmge+CrSCeBYafPj8/1EUkKOxuQl+IxnEux+OoAD8BZ4NF4AkgUdyF4BxwI1C8Y4CJMWAMGAPGQANkYDJlXuYqdx/c44EmneFgOtgE7gHdQVuwFtwHtgDt+rsA7TQ1oWwGhwPFeQUUg2PBKiC5H2hH/CaYD74DJB+B8yOuPbrvxO3WOYz7d8DFQLb9HqwDsu8HQHILUJ6fgVJwGXCLV59f+dzxlacWLX8GY0Ff0BVILgKLwdvgICDZD7wOxJdOG3JAK/Ai0OLgJbAvkATZehRhX4APowia4FsTLlG9zAKFQPyfBRw5EkdH58auxoAxYAwYAw2LAU2azwQUWRPwP4Em/XeBJrp2QBPJ/4H2QBPpJKCJX/5yK77ctwId2Z8EdgPJ/WAN0GLhOlAMJHPApRHXnh3pQ7jdOvO418LgKvA9sBNosjwt6tZEdjtYCeTWY4Bi4BavPr/yuePL/XOwBKg8C8A4oAWNyjMCnAveA5K3wV9AZ6BdtcL/ATRh9wcKUxkkQbbqUYCjoxh30AT/BmFTgRYg14JDgWzUosXEGKj3DGTX+xJaAY2B1BnQzlqTsCODcGjnpx2idqyPAE1s/wITgSNaGGii1k69AKwHEt07k/nTuDW5eWU6HkuBdrS9gCZ7iXbmkvw9lyo6d0X9dBkLNFF+CB4FO4B2vpIvgco0D8gut7htVFis8imdJuVpoBBoMbEOaOd9ONBkei84GxQBLR4OAK+BFeC7QDbK1n8D2fMA0ATcE0i8tjbFbwwQL9IxBQTJ6wRo8XAYuBaozBJ3XcoGh9tIoP0xBuoLAzbB15eatHKEycATKO8HLgBDwN3gKrARaOd6AtDkpQlUE5UjO6MO7SAlmvCEJsDpe9tx+8kIPDUpHgKKgSb7TUA748ZAE6vErTNnj1fk7+f81UQ2EMguTYya8CReu/b47vnr1rcFr1jlUwrxoZ2yJlEtZrSQKAOauFXGU8BZ4GagxYN2398EWhy9Bw4FslXXDuBbYDZYDCReW8WXFhRHgnZApwVBchcBmuDfikb4kqvyOh9oUXEGeBwMAibGgDFgDBgDDZQBTeia8HaD/4LBQHIA0GSkiUi7cU3Kmng0Ue4HJJokfxZx7ZngNOGfDBRHu1XJSUC6JfeDD8ByUAK+DyQXgl3gK/AueAhINGlKp2zRxHoV0HH9ZKDHAwvBeUByO3gt4trzMpyzq416RS5ufdLpLZ87bhY3fwfSo/LMBSOB5AGwDShMiyPJEWA60EJAu3DZ2QV8CLQw0FWLBUmQrRMJWwTWgrfBC8Atx3MjW7SI8MoAPKYChYvf64CJMWAMGAPGQANnIJvyNw/goCDA3+stHS29ngH3Ofg39oQpH02qboml031a4E4Ty+2nr6by+aVRHjo5yPXJTP5eqSkPd3zp1OIgWWlBQi+PyeqydMaAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDMRnoT+g5QP+EQ1IERkVc9scYMAaMAWPAGDAGQmVA348OQ/SdZ/33qM3gCdAD9AGx/vMTwSbGgDFgDBgDxoAxkA4G9M8swpAhKN0KHgBvgbuB/suU/vHFp8DEGDAGjAFjwBgwBuogA/ovTf8Eh0Zt78t1Jjgrem8XY8AYMAaMAWPAGKjDDLj/TaT+FWSnTClLbm7ugdjSNVPsMTuMAWPAGDAGjIG6ysAYDB8bYHxP/N/2YDb3V4BQpG3btiVdunR5MhTlptQYMAaMgTrCQMeOHb/funXrF+uIuWZmAgy4d9gJJEsoqo7rK8DKGKkWE3awJ1xv4K/3+KXtNisrqxzsTptCU2QMGAPGQB1kICcn5yigDZhJPWMgrAlek/pvgH4Wp8l9B1gDLgEmxoAxYAwYAxnCQHZ2tjY75RlijpmRRgbCmuB1FK9J/TiXrUfi/g643+VnTmPAGDAGjAFjwBgIgYHsEHRKZTHQ7n0AaA30O3hN8NOBiTFgDBgDxoAxYAyEzEBYO/jV2H0NmAS6g43gZfAZMDEGjAFjwBgwBoyBkBkIa4KX2V+AX4dsv6k3BuotA7zZ/CTPRsvWr19/ar0tpBXMGDAGQmMgzAk+NKNNsTHQEBho2rRpEeUsawhltTJmNgPt2rX7LS/jrVq9evVfMttSs87NQFjP4N15mNsYMAaMAWOgDjOQl5d3Ih8H00vSJnWIAZvg61BlmalpYaBpixYtPmnZsuX4tGgzJcZAw2Cgwn5KV/cq2ib4uldnZnFqDLTny11dGawOS02NpTYGjAFjILMZsAk+s+vHrAuBASZ3fXypUjp06HB5s2bNPqr0MIcxYAwYA/WAAZvg60ElWhFSY6Bx48ZjmzRpop9zJi1t2rT5Ndg/aQWW0Biowwzwvz3+3r59++8VFBScSTEa1+Gi1CvT7S36elWdVpgUGKiyq09UD9/yvoAXkYaR7v1E01p8Y6CuM8Cp2DGUoXdhYeHwuXPnZpWVld1T18tUH+y3HXx9qEUrQyYwUMHPiOrMT9rYbV3MuwhHZAJxZkNMBjrHDM2QQD32AuX0gZQWyhlSnHpjhk3w9aYqrSDGQEIMXMjPni5MKIVFHgwFmsC61hIV+g5CCTiglvKzbOoZAzbB17MKteJUMtCN3cR27vpW+mS2owPm1WZ/rFMnDhlSdUPHjBmjCTel9zUSKEub0aNHryB+zwTSWFRjoJKBsAYUrXTVMPX9+edd0D+cMTEGaoOB3gzG68hoSG1klmIe7Ui/it/mn56iHktuDBgDxkAlA2G9ZDebHH4MhoObK3MzhzFQiwywg6/F3FLKqlmfPn1K1qxZo/+6mIqowFrQfJ6KEktrDBgD9YOBMEdA7d4n1zWa+E30lbyA9Pu6ZrfZawzwU78fwMJMYEe61hyMAWOgUVg7eIdaHdM7MgZHFvjE8XBd2+M+z3Uv51jwthy1KfzU6Wh+4tGKPC+pzXwtL2MgVQYqKipaDBo0qOTLL7/MT1VXfUjPdwmG8Wb3+HXr1tlPtupDhVoZEmYgzB2815iVeLgnfHf4Nm7+68E87vV/5MMW78dJ7JvLYTNu+hssA7y5v55TshtrgwBONC4jnxvCzIsvIE7h54Y/DDMP020MJMtAmDt4/X7zRNAJrAJvAE3afqIJ/m1PwEDuN3v80nq7c+fOlih8D+j/bT+eVuWmzBgwBqoxwP+438aXA7tVCwjBQ98l4ANEu0NQXamyefPm3cnnQDwerPQM16HTRUltbH725JT6X42zu4B+1WJSiwyEtYPXT34mgyVAz+LngmuAjt0zSbJGjBihk4UmmWSU2RLIgN427+0T2hS/CT7+5mUM1AYDtfZxF35p8R/+G+I7tVGodOXRtGnTmfw/+UfSpc/0xM9AWBN8L0zQxP4S+Bi8Ce4EdeEnS5hpkgoDPPs8mg59ro8OneYkLeh8jMQLvApatWp1NX4fgpT0e/XavTGQaQxwYlAGtBuuM8KCZAeTfEGdMbgeGRrWBD8NjvRbeK3abgP3govBE6C+ik4B2tbXwiVSLjrzRbzcdKknzcHcrwBJfySEZ6rbeH5bjI4qomNYvoG9HE+9xGmSHgYas1B7KD8/v2961JkWY8AYqG0GwprgyynIOeDH4HZwGTgJbAf1UnjR5jYmGj2SaPDCM0l9Jc377LP3sGHD9DjEeYbY4HnKcAI68x/CDuN5+Xcy3M6IeSxG7qAPfisNtjbjPQE9TsxLgy6vihw89PjSxBioFQbCmuAd40tx6Eh1jeNRX6/8vI5xofWGDClfN47F3saW5hliT100Qx9patDCIk3lr7Xny6mQja0n0gdPSUVHNO23O3XqdAHugWnQVUUFC6Yz8NALx/Gc9BUST++WmBgDSTMQ9gSftGGWMCUGjujevbsekRSmpKWGxLzw82+OzK+oIVpdDN4Ho2eAA+ui8Q3YZp0c9ki1/DwK8p4+paoykr68vLxbUVGRHiXFM3EvpH95H3OlxQ5T0nAYsAm+ntY1uxkNdqEKA2F/jnD3DTWTvaO8+YQJE5aRtX7eY5KhDPCuRw9esNSjwIjs2rWrAMdicPgen3D+kucRnJC9EY72PVpZOC/nkV8i43MzUhaFaVNt6uZrohfxjYHpIeXZBL1qK4605fT1OW7qXX9PpAE5ZNi17jIwIATTwzjC1elD4Mt4+rgIA+CF3rJwBPpT3rS/0utfz+/1MtwdlLFrPS9nteIxyV7EJH+dE8AOOW/48OF6zyOw7ThxU7ny4uE4FreDUtGR7rS8f6DPa3+dbr17Sx8bh7FwHMqvYhgjnmAM0RdVW1KXK/n40lm9e/fWqd3IvVXesPK1CT4sZjNPbyEmzQEnZJ5pVS1i8n6+c+fOD1b1/d8dHb8HJxTj/+ezx0VnPZ7OGvQcVr+hD3Xg99oT0n1j9A5z6e4OX99iotPHmmoUdp+jtRCqMWLdiFBBO9gbPxnTS6TxLmy1q1adhSrs9nN5d0CnTvVC+BWOvigaL8cJlZnxozmLQ6Vp16tXrzLy6V8bJ54JGZmmyDbBp4nIOqCmYOjQoSsZCFJ+i5cV8HiOtH4ZVpnpcOUMoIEDd7Tj+3V+Dby+jybY5T7L5P9lWDa79B7scqfdCe96AWwm6Owoj042fnw4USqv7Fwu438t3FDpkTkOHTF7XwrNp86OyhwT47ZEvxTpFo39NW0v4b7C/xXI2rBhwzGcSqT9/wrA6XoWet+JuzQWsc4yYBN8na26vWc4x2c/J/fL9p4F1XNmIMxiUAwcDJnYtrNzLameMqYPG+OmcQ+EO3bsaI22t0Bcu+mYOQcHNuVfy+pFraQ+M81ioIwBPnDxFJxtuCEsXF7lpbJ33LnoCL5Lly4P4Vfo9s90Nycq98Nz5Lhc32fAHdkuJmK32jNl30mbDqrnMejToihh4QXcbbSBEQkn/F+CDtTNVG71T8JMMpgBm+BjV06X2MH1JrQ5x1Z6a7fasbdfCTVJ4M/YU5HnFx6mH3k2BdUmcl6warV79+60/rSNRcHxnFbo+XZcb2ZrUI5++jgdvHSjnO4XgcKkNRndGtz1u+5ERDz6pikoKMiBb6+uchZYoS9GyPcjnmGf7c082XseFWUlsZhMNLtPyOPGRBPFis9Jw2PwEPhfNDn5yaHvl7I4uGDAgAF63JXKIiGWKYFhcNuf04dXidAUeyeyMPxGYOQYAVu3bi1kvLs5RpR6EWQTfHA16gh0ObvVbwVHqXshdFJ1jL9jufunOh169uyZT9iB8ZaIybQdE5pzDBlvspTjMbi04Yje2RF1YWGyCDua8+ihEc/RdiaRQWfS9wpIV4H+0CcYv7y7du16BxN8Jn5FTgO76n01i5+f+dke5AeX0yhT26DwveXPIqIH7Wd/d/7sUMfRT67EbxiofBzijuO46Td5TDqvc9/R8Qv72qNHD50M7EpnPvSfceDQIJ3UXQ4/81tLHyyM45m13jsYF6TLx789dbAVf71gGyiU+VjesNfCoguT/c3UXTyPm3poYUKayl8ZsKDMpj3Gs4FrR1vQyZL3tCIb/zPxd4+j3GaWhDnBq1PoJyzXgHNBf1CXpDn/W3sFk0k3r9Gs/J7nGC7oZS5v9LDuk+VzSLdu3U7EqKEJGKZOpw5bKTRu/aeumgaYASSo8tMT0hTB37GVipJ0MCnn0LkfYsech9s7sDZmV3YeA1KV9s19a/I+wZ0lg8XF1HEiXLiTh+bGpt0MSs77BG0ZVDeRWczBLw5jmjAZ6TFCUsJLXHprfT7cvsfLSctRktCb++y2SihXXO8KJGVgConguopdlPG7tJcLWMS8xGLrH7FU818pW/PYRG3o4FjxUgjzvpvgVtWXyXYtfUA//UqHOG0uYV0s+gfBhcaJv8Kfft0wFVQbPwMUd+Udoc2EjQ0Id7wr6AuOjX5fzHTiOddW8PPxuHHjNuBRpf+UlpaqzprAXRsnss919ODBg/vgr0cibunLOHoDun/s9sw0d5UBMI3GdUDXZLAEvAzmAk30NVUeUdIu2nEkXU4GROayFh+gQwOjGutgVo5jaGTH4A5dmIB+wWpTH11xy0HciNO4JyY63JlagUsJ9jsdRLc1iVaus9jNXOoXkU6t4/Iqk78r3hwm1Efc4RwB/pxB/l7FQeedDPqjnPgsmr7NseNs7r0TthOl8spA0oIJZzS6qh3XE6mQgfkI76DH4qIlJzLfr1Syx6EX+hLhw5M83FuOEofA4VUsNreR06lx5taKeD29ceH2Ct4TONrxh0PtYGLuTqNxR+tKmz+QnWo2WBn13xuXQjLVZJzsWNKUNvcb0ge1WYL4pwYsRGgvesM65gufkcjR+I47yav6ZrUd7/bt2zV2/R0MCdA7holRz+pbgObU8d0B8RLxzmF3+0MSRMaLGAn1fkBvJ5y+1YH21WT06NHb8evSr1+/5Vxr0uEkj6cdOnEDrzqyp31qznGkGwu0PLipVt+MgwVM8lr0nshY4TeORHTQDnzHBy0KvQtDJ9NMuSY98dVQgF6Ei+SXwMfgTXAnCGqkBIUimiiWMLlpUB9DZy3lGu/AUEhcPWgu6tu3r452BtNQ7qMD/Vv+6vi6SvjvToNoIH7Po6qsGPfE9v2rxu0bl04zhgleCya3tB87dmwJHs5RtTvM142NPyCg2nES5TkDfg7wTbTHM1cvClFe3x3CypUrv8kEdJOTnkn6SjrN4bpnkl2xadOmY1kgXeKEcy1n1RvZ+WPTCUwapzth+B/LwNKbvJryTL0zbrWjQCFeYBgBmgSqCR2yrJpnfB5FlOM9FijxPLJpR9k+Q60mWl+BJ/GuOD3AEcDdF5vSniInH9Q/tOQN2bJli57rX81gVHnMyL2vUKe3oftr8rjKHQG+svHXQiEi6B1OnF87967rQNxdyKsRC7gf4f4U7KPwGjhXlLSKdoQM2L9zKR06ZsyYFdz3kR82NqP9veYKr8l5FMfbZxOp2mQaTdjPqwAbCvALnAC88Wu6Z2H7eyaiF93xmGzO4n4qKHT70w+yxo8fvw6/wAmQNh1JQl/KZzL6RjR9T67uNhX1juhxOk4v2sNcn8lv3yFDhtxCguOdRH5X6uW7+C9wwpy2oXaDTVoUOvk4UYKubQl4FTvEs1uasMERL3ELHGi8qdw01JSQPLOKiorUJ7y2qn10dKXXz2x9hVOt8YxVSwisclrpG7mWPf0aQDpMmIYSTViPgNvAveBi8ASoTenXv3//FTS2TgxmY3l7VBOLFhzxyOtUfmQCpdFEJgtNDrh3KjEDcBYN6Zc4qdsmkwhzT0Y5dNg/ETaL63lgMe7AxQ0D8pN0zFnoOZh4+4HIREy6PtgwkvsK4tzKjlWTYRZ5TeCakND5fCc8yvNrFhDnuJSps0WEDvw2E8xCBvmW69ev10QwBDv25V4TUqRD8Hv1UibxX2JTZBKnHN2wOzKBSwkfkNhGmOIW6l5C+g4Myu9GbapcKBEkGyN2EtafgWIuuo7EDu1g9ncmPdxVBP8uVTyq3gR2zKrR9tyRXzFt5enNmzc3wc4fwn9kB0IZ5jAYjuOqstckA1kUyabCoIjwPoFFQAfymsmA/zdxvHHjxhuJfwILo2vYCVXmAw8F2NGIgX59DWWNZEc72gm/u6mLY/zyR1dr+O3gw38kOv5fYNvDTGx5tLme++yzjyaYVuRd4NbHQq63+z7A3T3qrzadrXKsWLHidOr0ZG98JrNulP0FJr/KxTJlb0IbPCgaVwvdF7CjcrFJfeTDoRYk8YjsfYY6jrRdnwSH4nclNjZ2h61atepI2r3af6VgQzY3hVGPvMqAqAO71W4iZdcLoLgrSBM5CmZCKKKOernTqBwDBw4swS/orXl39EA3etSfOoFFlPMc2uxU3OpT8pMso3zOwvMA+mdr7Kp8BIBbY9eDtIFIu9+TZM9fwvJop6rDiSCHOB15VLPMHUduxgq9k9CPOLm07dvx0mIjljTmFwOriODUS2PyakG9NqM8F+KvjzndxdUpg1eXFj8Re9WmxYEWULTht/Af7o0cx/1A8ntJbZG4rSiPFk7/1HjIfbWFHvntzztMqrf2IKMkpcYUoyRqZJo01BF1rL0RrAVBIju8K9TW+G0JShCn/3sMQtsZrG9lQP2jBiwqaRMD6SF0wEgjwk8Noz2VdDYNezANqwnHYi1YOa6hYzajkbZYvXq1ynFINKwZDS+HHdVEFgwnoLuMOC3Vobdt29aMeH1AX9KfQUfeUlJScgN6tSP9Av/L0fEe15VAHKmMfQkvpUHtXrNmjRqkVgzLsbsrA9uL6O3PMW0pk/BphP+CuH9m8C5g0Cnnej6T6wfSAdQ5NJl9BO7DZg2oPYjzK/LMAdl0TsVpGS2PdmSN1QnXrl07ns6wDS4G46d6+iZYiB0aUHOwPYsj4h2zZ8/+JnqK8GuLXVmgQoCH0qVLl2qX9Tvun1F+cKgX33IVD7c62XfJdytXDdjS2QF7dJXNA6ifDri/QQfNJb0Gw2z0li1evPgi+P4GA9VZTHqN0LlbeRLeQroXLlzYlOuhpN1FWbKIo0VZT/yyyU8DrxaXS7jXUVw20VpgTx5t4Ab8Z6JHb9/n4tcMuxbBV3vKnQMnGiR28FtkTWo68l+O/q6kV531pr2cRtrf4h4LNuJWWVtoAOS++bp165rQ1m6lnRxG3B+TTvUkKQPirjl5FpDHGtL0xO4sFgXbiouL/0XYs9iwU/ygtwIbDmAxWbpkyZJywo7mfjM6CoEGmx60jzx0/RGe7sLuAvJTWXOA2qPahtqaOGuNHVCdq7aguisnnQZfTQBHgoWgnLZbTLxthLdFV9ayZcua0JZfc/gnrcrZmBOtifPnz7+ENPrGQB/yPxGOptF21Y61wNEO6GlwFFxcgs5B6Cxj0bBr+fLlT+EvUb6tSKf+2IY6OIJ4WlBcy31b2qTqRuXU5NyViWAd4ZqAOxDeCncu+alP7sbdHkT6M+F9yKpZtE+KA5VxNLv3DdG+oXFJfVU/r8wlntphL05ottDPZEtTpaXcW8lzBxz3Ipykq/UrjmbYpL6hxe9q6uNY7NQYJ79+5FvAuNANTj4nfBe89eKt87Xw2It2V0Afzie9JtVI/lw1hrSlzaitaSPQhfzVD7LRVUGdqrwRe7nPx77h2LmDsmoxvh82NSF9AXmp36n9D2DiXkXfOZR+PQRs5aRNfXAj7W0tOlpgk9J20OTlKmsZ/lR/+9ZqU4RrQo1wR5rG5DuUMpWSd6NFixblk/9xjD87iFOKjnXkn014Bf46WVG/V58agVt2tYzqUlvsSPu+nXo7Q2mBXtjVWKC+0562cj1hJ6hOsacLOi6j/30LTktUV/Chdn0UafKIp3KUUE+/Jo/3yKs1HKveCllIisuD8SvFbzduzTF9SacXirO5VmCz2kWWi+O+nGo9S322YcxtQVX9SH0ZTnaSl/q6TgfWgJ6yFz3tGJOawKPmiPbga5AxogG/tuR4MlJ+z/lk2BW/Wzz+/bh/AWggTkoYrCczYQykkbSkcgbRcD6jAbZh0NXb17Oo9FFMHAtpzEVU0i4axSZVGNhO5WqCX0OY4szEgL74FxBvIw1uGzo34LeDQWAkOhuheyrxizRQqKGT91c0IA3e7dG7Wo2KRtOaRqiBqlLQtR0bmzKAv0ucLAEdPWncmuRHo/dj/LSTVyefq4ZHfuu5VycdQrpl6OwM1Dl0qjCHjjCQjjyPdP3JX52kAnuWkXYT5RlOeT7n2ofGuxtdueT1Gfpy4GM8YbNxD6acejyxnbDpXBtRtmakGSF/bPqEvHSSoYFJjTyXazloR179sWEK14Gk3YoNyxkExqJ3BvcaGPuqrHQI7WBLyFMTjI70GsHTYrCENNKlDphN+L7E/4B8ZequPUEVuUpPmeZyv1ZhQB24EWUfha1NsTHCP14tiTMYGxtRp+/SWfUceQFxtsLzcHQ2Qs9UaNKjAR1BS6ee2en5azb1o+eKRdi3CV1fYs8E5YPsYlGmhUNv0upkZw3l7EQ5i+GpkLy0eOgMx0vJZyj5qf4iojxVXsq1HP+WuGeQn7MI02JwmGwi8g78NQGpXTg25WCTeO5NfZZzzVFZSbOFfEay0yzmqvxV1v3RoXYRkWjdfcyNBlXpzGZy2o+4X6BrKHq1gBIHmylLC9rQAsqnCaGMuiMoZxe2lqN3X+xbQp5qTyOUDhu1MC1GTyds0uIyItTxV/j1VXllE/G0A1TeufCWT9wR8LCJqwblD/BrTN7jlVj1Qdmmkb0G03b0hyzZhL6ttKPhslU8EdYHdxllySKPEtWrbJJwv5L79qTRxC/O1b612BmiemAsqKDONtJutHBrFG2nBejvR3lW4ZVD9AXYpAWx8vsaO3qj5yMmhQlc11A2taemsok0Ot1TPu/CTRfy2IruEZRtHjb0x/7F2NOd8mpS1IQeEZWV9lRMGQppM1vRo7FoIXmLJ03gwxVHgq73xB02jeN2NzbN1/hGnlOom7HEzcFdTL6FKg/c6DRqAPnKrk/RU+aUB34XYncRPKmseeTfJtqetOAfji2Rtkqarej5DJsiCyLyiIwd+Glh1Q8O1M4ifYdyleleQryWtJ2VLA4OJLxSyGM1YR3QVwZP2fCyED1bcEfqlXC1/13YXYCto7B7IeUpEgeUdzrX3uSTQxhNrPk86rG/lKtOsWk6Vy2kVikOyEN3PrqGY0ukrcJhpC1Gw9UetZkbStrKcQ/T1BYjYxf+WshoAan+Xs5Vj7uWYG8P2YR9XxNXY3ttzqkq8l6XZAt8Dpafkibrj+d4cxm6DmJX+Kx2KNJbWFi4jE51Iw3mF9xqRNDKsBsr1AW8Ifki7v15+1LpTuIo+m/4l3D9nJ3Lf/Fz5HgqV4NmC1b6U9CthlDOQPtzJ4L7yupwBc/0t9Khro76a+CJDC7ueG43+b1LvjPcfjTQizjSW46db+uYnF1RKavcZ4iTp3jkczNl3YbfEjV07LoL70PYSazmeqziIFrtawVcKXSMwxlcKrRiRcfCyoA9jht5a30FzpEe/8gtDf6X6F/OTW9s+gLb3sQ9hpduSrieJps4ylqqyOhfwv2r/I946bsrGkcr5Hikc1FR0TI4/o03MnX0Nflug4/bFIZNF5PnFuxRPo0IXwaf2tUfi451vKC0Fvdg6m6qoDhuIe79oJT0s/DPpa5vYPB5HXcHuP0V5dhN2A7ymyKbqJcH99tvvyWEH+HoEY+kW4cdm4izBbt38ALSavJ7H/tUH5XCQHImnIivwZWeHodjk+ocHdvJ/2/RKEfi9xfKrzYrjtW+XyEvlbGC77Trqp2cVzpj3wJ2fSvRNwuO5oon3Pd4I0bvKyjTY7gPI85GbK6Ak7e4zyfPrynfCtrchfSd5VzvUTslTJORV36o9oQOHYdGbCbCAI59tUPSzkoYzeB/EOVaSpwd2PUwfsep7nhOrPIMIv2ncPIRbslhPJZbw6D/LG+2q64/Ek9wtJ1+vpyJfyB1dKHaBDzp5GwxabSTHgiU37HkcyM2LFVa6cZPx9Z/5VHFcvrt/dGXx3rhr0lFO2vJRGxaT7ptnBJE2toe70bDon3mrlGjRmn8eFH1ojDKIl70Mt/9uuL/ENytJs5M8naPMZMo60rmS41TkWN/roNouyWk/Sl1dxk2Sads6k55S+DsWd5VkP7vgsZgGJC9kmHijzFxLZw8hFt1PYV8Z8DJUrUh4nwL/w2UZSt2VWDr/EhKnz9KC7TojyU66dsO3ztoF2ux7zl4riDdDtUrYY+QuBeTpTYO33ArUnvGzieiY/EFCiP+v7FpXjTeGO434r4zOp4Mifq7L6dQno1qW0zyP3QHyE39/kxtQjaqv0bDqbrIePeD6H0B9fNT8l0NvoD7Y/DX5uklrhrDO0TjZcxFq64wRJP69UCT5PPgKaAJpjnIKKHTlLPy+hNGqWFtBc5AU8VOVnNTWUFuqOK55+Z5/DV46dg0InSQF1hJ/9W5d185Tos8R6JxaBclKQN+eiOBifyhkaqR7/KmYbdQxAr6Qvyn88hAA5YzGMrmde74rE7/o50Sfq9Qhs7uMNxfeu69tzPnzp2rY9n1roBl06ZNk56ZLr9K5+effy4+xEFGCruYxkBHxJLd1PWV7OKPwL2aHdytcP5yJKSGP0wqn3Jk2oJHCs1Y/c9lINuFrj+woDq3hqSJBL/qE3k3iwi1iceVp0+4vDQh3YUtOrVYKw8eAelxRFB/7UU7PptoU9j9PU3f0PsDh3C/g53QZNr2hbS5ygEfnVLpbhO6D5SovTrROwBMY1f5X3Rspq9ql+c96fPq+ZTj6KnYUKWtklYnDM9Ql3PcCSizOFkA5K/FjwZrr+jo+klsqPAEaILxHS888XS7e/r06eoHlTrIW49D7oG/M/DXzvhp+t9niuyR0lmzZnWE21fwjyyQPeHu26Xoi5z4uDw1tn0OnAnRFRTbCWfbWBQ540XsyLFDj0HXBnbaH1AXpdTp39D7jpJQbp165OJc9P/tnQecHVXZxpPNpvdCQvqSHlIgkBBKkCJFEBFFqqKRoqiANNv3yUdVLCgoCAhKkyZViiC9CMEQQgohJCFlE9JI76Tt7vd/bu6ss2dn7p179967c7Pv+/s9O2dOfc9zynvOmbmzuLUYSfgrLEC0eHblffrr2XjWWqD7Im7lsVA7cU4fet3nX8uJDokOWyugUaMtzIl34r+RRcJ8eNbY74X90IZJc3iNxTr39S75MvDaiWknewL4EvgaeBKcAopSmNDuYTIbGkV5OpGOi8OM1pF08A1R8vHicAzUhgm0i3efxVULFw3ydXTGL3BNTOKp8mFBcBYdWDubyIKeLxNZA9U/mct4aMB8CKqF/LUTkV6Hg3+DWAp6fp/BHDpxMPHPY0IIa+tEnZgUusKlFlMaF0OYzO5VAJPdFNr1MbnzIZSrdyW8xaN3jVrU/tQ9bPGxiEy0mNzERK2JtXpxS5nXMFYeiVqI4mF0F9J3NF94ohdJtYt62/PQlXZYwqMZGapUsg5Oj8cYf5YiUmPKa8ZEr77ql3R5++Nm6p5EgsNYePjHho6Ut3oZsWD8B+NTi0dXHsbjEFBj0eJG8u5p80fgVBuryEIf1jtEHd0EtIMelfjbxo0S9X4WeWlxo3aVfMZ9ok8yHvS+x0u7vIP/osOOSZMm9SA0qB9XUd/HCauaP39+h+AcGj1F//mz8gkJT3jTJyqY59POj748oi7wfEkK58yXgS+nCqPAYCDCe4NjwRRQ1EJH1Es97epQiWlz5szRSn5W1DyYsI6m0+3vj8/gWDFr1qzu+DE+KhszsZZibNKt7v1ZpHNrAl+aLlIdwsswBNq5vFGHPAqRdD1cbwkrCCN4CZPGx2Hh8qfP9Gfy/hbOyWC2/HIhGAONX02agUK/6EGcmwID03u+T5Qaxih9khoxljEhd8dwlH/00Ufqp1pgBgrc3Kbn2snAlfRrvdldfQIQmChDT3Zv+qBJwpgylu6jTW7F2EYeg1GKI8908+mbGBA9z08XL6i4CUGeQX4sgi6Cz6lBYWF+GPcbWWxc6g+Hn0pO5LSxqPT759rNY4+ZnLrcmSpfdv+rCB8OXk8R70HG6oWEB7Yr9VmUIm0iiDlU7wTUmGvdNLSf5toVrn8c790VbK501FHFlWA80E5NxkLHGRl1OuLHTpgkfsGkVZeJT0fijTmezaRu6tw1hE6oVf3bGJfbua7n2dalHFPdXyNSvG8Wxlu9zLSjX6SatHWKkXPh2evH9MVauy5fQeqnOk2KLBi/naB15AThEbVTa8zOSrw8AdJOrsms1sBli6S7+oJfY26q5ysm2CYYhrR1w3DpOFXvpLzGgvKKZIZrOXm4GIN2B+Po0OpC6uaYzuOvEp6dhy64lD1j9GouQr5l/eTJk7WwWhZUEJxUTpw4sTPvTiQmIozWa8TTOz3VC0Kek2tBdDJzzHlBeWTrR7naietFx1LmQZqhVCd5UaTGKWBAgu3kl3KhEJCm2otHBnrxscZCikWb+l0NYfHUB9Twi+tN9YDJg4IzyPNneci3oFm6q3J2G3ExolpVL0ySsb7IjHtB2zDfhTHY9cb+Fl7s0sRVMGG3oj6Q0qBkqgy7vwtIk8uTG+k4M1M93PjsfKdT37lJ/ymMw2288JS27hjy8bwQ9QYGTUf2NY7tOX35jltOHe41Fi8Hv6tDHrlMqpOiviBwYcWOWIujC9nVdg4rlJPDZoTldHGKEZ1JW+o0998siBZwVfnTQN6FxfD6uXPnaowGniah2w4WOj/yKcKvVss1Ft7w+RWVM58GvqiICFF2DseLWuHq+VkshR1KJc9yO8VSuQaiFEbkZKranbeB3ytUlbWjZbfSlV182l0sRrt5BnrJCK7LIH5BolKHU30FLeFltJ9zf7X82IXr4yYp34PwpY3sZGxpR9c4coL4RQw07qi5nJdbNWe8DtR3qwXjq//t0BKPd/gdeTnXwOPu6gTZOV5MJlvMVUgptLV+itvUH4lTJn2boI3fL50b4/1n4rwEoi5a1jO3jkqXb5zDzcCnbp2VdKRBqaPUDGVX0Iw3YzVACiI8ez+dgmodaRak8AZUCKv/yLXlGXJeF1xMwlOZrA7nmPpLGPgX0ig2neeblyTjnJQmblEGiwsUr9FAtFfFvHnztFvL2vCzcDuuKAlJr7R+g67duaSGgceY/i8Lm1fxX8YCUi+F1rvwmOd19H3YrwgnOGdyX8Po+8ND3FoMzwkJ2y29zcDnuFl51jeDZ33fyHG2qbLTCYNgkicGWOTNZ+KLZCj4Odx8Fl3abWqnkBehf/2BjIUoUskjhHuI+M0okYs0ziZXb46Xb8BP7/1E3a25Wei+xpF+UITdzY+++5e41YnTmzMCdNoS4GdeDgN6AcYkRwywytTX15qQnV6kM4kJA7SL3mRXu2QlTHrnsEs8KoPE/0wTV796yMWLbPquu36vXqwnOBXTpk3rBlc1dt9puIsavJ2IU6NGzkU8xv4WdpaR25Vn0HvSdoEvwWWoT2P6Z8FODTPUrTp60Atr1YHmyAsDDW4Hz26mlGP03vlgk13ew7y0krUhyaVOGDV977xBLuB44bApX5eqPoqjSbZz7PhpLvkNyou+1RTO0xpb+smTxNuPPPQCT11lP4zKvLpmUk/pH6BcGTi9kBsbwVCv5VvrPTNViDa9nw8fHUO6I6KkZYx2pu2ivkEemiX5PMPjmnFEyHsfD1UifcBKfqq4gTfyi/aFtfRVjF+MBmfgMe46qmybj6Yg77i8Qasd67PU8evsFPfMR13jnCdvTT/PP/a4VToy+c3kTdiOOAfkWWc2ZMu+ShmT05XDZDwP6BliLmRKLjKpxzz0vDdjoX/PmjFjhvp2XX6yGlguR8I3EVDjmW9gxNqe+uxsJr+PXl87i8x9eBFMPx87IfOUBU2xiUddgwtaohX239+VNiAuNCHkfFKIG39MUv9GJw2ovCxmsqkvxrac/4jWNZu02aZh5/48adO+Cc0LRW3YXdT1qPitbPXMVTo4Xsvipkeu8otxPm+iW9p2zVL/HaT7JCgt/G7kP+h1J2xbULj5GQNxYqBBHuHGqQHyrIuO/+rykpGr3obkM9OtbkCUe044bmeC9N7ejZIkr3HY+VTrgnscRv7QvBZYgMx5PPELipEBqiXsevNlEGuVtbt6sAt9hbr1A4HjCo4XssDaw1f/NckxU/3IyBdmTmMgrwzk64h+L7TWcaUrerN4uutp90XDwFNoqmfHs4pG43BFJ/Bi0sf8By1vt7u7vBi5nSoHGZ/3+KZDK8Jy8dw/nNUYhrB428pX7wJ35FmoW0maBWHpeKb+R8IET5bgsIWVx4ZdC8pAvgy8XpzRSx9a7foN+sqC1s4KywcDxf7M1+NkLS+73cLNdZ7Hbn6dye4yNo9rCsk1j2mGg0IWaWUZA7FgIF8GXke448FpQM/KTIyBWDLAx0xaxFIxU8oYMAYKxgC/nKiYOXOmXtqsKFihBSgon8/g9YboHb466JjKjqp8hJjzvwzw2cl8LTb/WwgunlHrd+OJfs+O9gWO6XXCtKhGJLsxBoqAAYxSPufvImAgdyoyJ9xJbnoHZ27ucq3/nAoyqSar+SWuMvB6jhsL4beuXfmHFbtVg8aC2MyV+M+iRYv0NbL5mSfNOMVgvgSnR0iSxXzx7LBdTvtrDBQVA0uZv9azSH2jqLSOr7J6t+Kt+KqXnWaFMPAy6vr50dMpVOxN2F+d8F7cP+L45fSWN7qb8lJMTvO0zLJioJy3k/fKKmXmiext5sw5sxQwgDHVXBYXWc+p16C4KGN6xJOBfBl4DYRrwCgg467fjK4ClwPt1FzRG65fdDyVh36PWnDh4zBd+F/IWtGZZM9AY44Qm2Sf3FIWkgGM18Y5c+bo53V6C9+kNgOz+bCOns8W9PO3tdUwH2MgOgP5MvCjUUFG3f91pWO5PwXcDYKkXox5kCK8XT2I32w3uH80EcRFtn58tnUOX/VamG36bNPxLK0ZC4sO2aZvqOl4y1zPIN8E+lmXSW0GltOnddJoYgwUDQP5MvDlMKDdu76kpu8j6+c5MvD3gXoRfgPcKYOC4/xN5wyqUX9ReTv9K/VROgb+TIyV94y9PlQo1jK1O51ZrMqb3saAMVCbgXwZeP3e/UowHuhZ+nrwHKiv462neVta//f4DWCyGzPAR020CzUxBowBY6DBM5AvAy9iZ4CfJRnWsbwMfH1KfZdfn3W3so0BY8AYMAYaGAMlBapv5wKVY8U0DAYqFyxY0INn7Q2jtlZLY8AYMAayYCCfO3i/Ov/jvzG3MVBHBvQvOUfznF//JtPEGNjdGCjhJ7yFmpt3N+6sPj4GCtWJdFxvYgzkkoHJuczM8jIG4sLAtm3bpvILFPs1Q1wapIj1KJSBL2KKTHVjwBgwBgrHwNq1a79RuNLSl8TPAyv54qM9Zk1PVeximIGPXZOYQsaAMWAMxIcBvglyBto0j49GpklUBszAR2XK4hkDxoAx0DAZ2NAwq138tTYDX/xtaDUwBowBY6DeGNi4cWNnftHSrN4UsIJDGTADH0qNBRgDxoAxYAykY4CPS40jjv53iEnMGDADH7MGMXWMAWPAGCgyBpYXmb4NRt1CfeimwRBqFTUGjAFjwBgwBuLAgBn4OLSC6WAMGAPGgDFgDOSYATPwOSbUsjMGjAFjwBgwBuLAgBn4OLSC6WAMGAPGQP0w0JiP2LSun6KtVGPAGDAGGhYDo6luFejasKptta0PBjp27DgSPEDZ9jO3+mgAK9MYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYyC8DTfKbfV5yP41cfwqOBkvActAe/B84DrwDtoOrgeKeAP4F+gPFGQkmAFc+j0dvsNANcO5V1pXgPDAETAQVYBz4GWgLZoBB4Dqg8juDaeAMcA7YABYDT7rg+DFQHtPBVpBKFE86nARU17mgMfgR+DqYCdYB1fkyMBBMBpJW4BLwtm58cgzui0A3IF1Tif5JkfJQ/AOB6rsJDAB+jqXTl8F3wEqgtlL9dS9ePD1xNmoBbgbyHwXeBKkkiAPFPx1cCNaCpeA2oDwFfd99KnB5wish6hs/BXsDtWs6UX3Vz8S52vh9IEmnw5Rd0RodwlV1nZ289y5BbRQW10vjXcPaRv3WHSNuf3Tbz8tTV9XTP570vfwwCeNFbeYfI2H9PqyuQbyE6SBd1ZZHgyVAfS9ojByO/6WgGfDaIaycY4mjft8SfARSifgOmidcjpXXBeBkMAtobvgcUDnSw1+O4spf4171WQFSSdgYURqNwWVgI3B1ao7fT4B0+hBIJ0+OwqHxo/GkMb8QhElYX1T8vYDqofEY1C5D8Vf7DQLvAr+cy83ZYDVQ26YS1e1q4I5RpfFzoHu/TqXcXwxOBOVA84knYf3WC7drlgxoQroddACaUF8AfcGNQBOlBsZvgAbro6BTElwaPQbUMBogGvx+Gc/NdKD808mLRNBAV6c8HtwLWoEnQBtwDxgIvgu+AqSD/luT9LwDNAX/BH65jpsDwGHgf/0BAe598HsW9AEyineDo8BZQMazF3gcKOxpoPJk8FR+GXgKqA5+0WT0EFCnvh5Il1TyWwJ/CMSzBuIrSbfLsfgUD+LnGiART167qDxPRuO4GihM+qSSMA6Gk+hm0A48B6SfV9atuD8PXJ7wqhb1LfF2FTgapBL1wTfAvqAJ0KR3GYiiA9ESdXyb6+W68UkZbreNxEdQXF+yamdY29xIjFHAGyNB/dFtPy/ToPHkhbnXMF6Cxsh1JHb7fVhdy4jr8uKW7d2HzRNu27chgcaI2vwWMAyUgaBypL/iqK3/AbqAVBI0Tyi+y/H5+Ekv9dMnQWOg+UFj417QHXjyPRxfAZpPpHcq2YfAZ4E7TyiNxvh8MEg3iKvTKfgdD3qCR4BfNIf1A9K3uT8gwB3WFw8l7pvgd8k0brvI+xmgMs4DMs6eaL7R4kN98jXPM+Qa1hcV3eXA1ekk4ohv2ZmHgF+C+q0/PDbukthoEk2RbxDt12Ad0OrtLvBFoE48BajTDAEaqHsAxT0CqJ5VYBXQwDgQ+GUiN7/0e4S4ZTwlLwDlJyPSDai8aWATkJ8mrX3B4eAaoDhrgDrsD8Ay4JdJ3HwTnA6m+gMC3Cfjdw9YBLYCdbYzwVigsheDpmAkWA5uAip7IdgBNJiUzi/rudGkuBNo4qoEqeQLBN4CtoOPwGSwH3A5lkHVRCVuNUik1wAgnVXfCuCJ+BoMfgWGep4h1zAOxhBfbbMBzAD9gOreF0i3V4DLE17Vcj4u6TEKzK72DXYchvcEoPZSPX4LTgRRdCBaol/8UQ5HgtpIfSgorpM0cRvUNqqPO0bESyfg9ccS3G774ZWQYfz1j6ekd+AljBe1uztGgvp9WF2DeAlUAM+wecJt+57EnQc0HuaA0SCsnC2EXQBOADLy60CYhM0TWiS4HA/E7z2g9ugNZOA/BSqrDdDY9OQ2HFoEyLi19TxDrmFjRNH/Bh5Ppgtq90cJewdcBN5MxvMuasfvg8tAC88z5BrWF5cT/3wgLiRuu4hfhYmTmeBA4MlHOH4LzgUfe54h17C+qOh+DnTv6qS8x4EfAI1xvwT1W394bNxq3GISdfhVjsKaeJo7fiu4vxx8D2iwa8B5nUlGSQPEL+o0UaQjkZY5EWW0egDPaCp/6aNB8nPweyCD1hcobAnoDFoATzQBzwXlYDhIJZqUl/oiaEIQB+2Ap4MMdHuwN/gfoAG0H1DZG0CYXEHAIvBeWAT8NfhUjoyaX8SBy3GHpN8vuP4alAK1iyYI6Xwk8ESD5mfgUiC+VK8wicLBNhJ77XwB7j8kM3N5csv5jHhqY7VJKnH7guomP3/+YTqcTry3gL8duU2I20ap4nppvGtY2wSNEbc/Sm+3/bx83fHU1QsIuEbhxRsj4tjf71PV1eUloOhqrza4VlXf7XIEjZE5BGkc3g3UF9Vf0pWzkThq1wEgTFwOFK8p6AZcju/C73pwJ1Afku6aHxYDLTY0d/mlCzcPgYv8ngHusDGiqDKanjTH4eqkMPWlD8FBuvHJTbh/DLSo/67P33Wm6osynqqbJ/4xo7lLeBPcB84G4s4vylsGWdy09Ac4brcdxK/8JH4OdO/qNAS/laAcDAZ+cfutPyxW7pJYaZNembeJ8mWggXgqOAuoI2hS1kDVqlYraw0QTdw7gQas4nsdoS/u+SAbUac4ACgvGc0jgQybOrvylZQB5d8HbAGaxFuD/cEjQIa/HHjxcTbaB2jg3ADGgVTyGoGqu+QUcC54A5SDMuDJQhzTwXowBajDppLrCFwDrk0ViTAZdsUbCsrAYUBtMgG4HJcn/TVQ1D6tkuCSmNg1WXkiHjVxbkpeNYjDJIyDBSQoSyYS/+JA+fQEmswl5aAMeFKVdDTmeh6YBv4CDgSp5C0CVW+lOw6oL2pCjKKD6noi+Dk4AwwAYZJJ3LC2eY/M3THi9kcZH7f9PJ3c8aQJOUzCeCknQd9kojKuGiNuv8+krsmsAi9h80Q5sct8KTQv3AXU7i+D2SBMxMFXwavgJTAchEnYPKG+4XKs/ncOOB/IyKjfatw+Bp4Fo4EnaqO7wYXgA88z5Poa/kHzhBtd/cLV6Uv4NQX3AS2M1MclumrMVoK5STeXQEnVF90E5XiU+TzFyX/A2UBj0d8u6jMysE+AT0B3ECZhfTEsvt//cG5+B8RBV1ACPHH7recfu2tp7DRKrdDVBKuDnwT2SkZdxfWP4E9Ag1BxyoE6xiLwKVBn1IC5DfQGmow7gKvAxSCqqNN+C7wIZLj3BhOBDJ6M2K2gLZA+Gggqbyu4EbwPZMQPBhJ12t+AG4A6kcKagztAKnmcQHXwfwHFVwe/HGhSuA5ItJCYA5aDX4KhYDxwxePgIQI0yb0JDgfSWxNZmIwnQDqL+2GgHEhcjtvjdwmQnspvNTgeHApKwM/Bt8F8ID7FxRKgfHaCMAnj4AUSqA0OAOVgPRgExLUn6hd+nuR/DxgP1Ga/T16v4ppK1KfUF18HKqc/eBA8D9LpoDIk4mEsUF5eX1iB2y9Bcf3hrns8HkFt446RecRz+6PbflrkaDJT/xBvi4A3nnAGShgvald3jHTEz9/vn0nmGIWXwMKTnmHzhOrgb/tt3J8L1gH10VuAK94YuZiAo8EhQPPMd0GYVBAQNE+0wt/lWItPtY10uBfMAN8B14Me4PvAGyPKU330l0BG9jQQJmFjJCh+kE43EFHt9SSoAveA8UA6qU82A5rXUsl4AoP6opvGbReFHwa+DLqCHwCvL2qM3QmWgrVAc0eYhPXFxiRQnVKJ5uErwEbwChDf3hhVnW4C6jOKZ5JjBkSsGknXkcm8m3AV/KJO6Bf33h+WqbtlMsEgrpoEJG7+pfhJT7+4cbywIP29sKCr4jcFyn+0L4KbvzjKl3gcaMLrlyzELV/erg5BcZLJE3Xy3OmuUTkIyidMhzD/oDw8P51OSMbsuiT+ZpOPL3mdnUFtE9THXD3de78cnPkvAABAAElEQVQiqcL88Tx3FF6CdPLS1/UaNE8oT7cebv9MVa6bNlVchXntMAh32DxRQpjmCr9kWo4/rd8dNkb8ceQOKi/ILyyum5//3uPAP0/4wz23W16qdnHjenmEXYP6Ylhcv39YOfnst/7yzW0MGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAOBDAzA9wnwMbgDjAHZSA8SHRuQsC1+k8G+4ATwGogq/jwvJ9FtUROGxPPnFxKl2vtiXNLbj39wfySYCFyJqt+TJPyGk/hB7lXOe+BN8G3gSa7ax8vPrsZAUTFQUlTamrLGQHwYaIsqMih7gKuS11e4dgOeNPYcAVd/2AOEH+PEUfh2cAdYDjqDfUBU8ec5gUTPOgn95fuDwvz9+Xnxw+K+ToTfgk9A96T7L1w7gP2AxJ82qn7DSOfnV/kMASvATeAjcBfYG0RpH6KZGAPGgDFgDBgDNRkYz20VGJT0bsNVRroVaA9kUDeDf4KDgOQtIEMpg70afB58DewAn4HvgSngebAFjAaKdyD4FtgE7gafgmuA5Hfg4YSrUaNzuE4Hbp6/xE8nDZKvg3KwGFwLmoJOQOXIOKqMmUCG2RM3v7D6efG9q8qd5d1w/SrYCaTzevAYkPj189d/MGGXgWXg70C86d4v73Mj4y7pBdQmp4DxSfcgrhJ/++zysb/GwG7OgO3gd/MGturljYF+5LwWzEmWIMP4IpBhvgGUgVFgHrgdSGQYtRPfC+hY/yzwHJgM7gN/A9rlNgdHAKWV8S0FktZAxvxMcAVQPvJrCyRK1xG4eSpOO9AH3AtkEL8Ivg9OAI2ByikHZUB1OxZ44uYXVj8vfqprEwKfAjLCJwPp5OmHs0b9tZD5FbgIaFHg7t7xSshJ/H0VTALazb8JUrUPwSbGwO7PQMnuX0WroTGQFwZkSGRMeyRzl5GS4dVOcTTQLnwOkEEdCWTIJP8B2q3LeGu3rwXBNqAFgiB5AUxMuGr+2c7ti+AVoHSHAIkMtEQGXhKUp/y14JCB1XH5NDABfAl4IsO4CqwG0s0TN79U9fPShF0rCdBJxoJkBPHlild/nVxocfMMeBeI8yApx/MJ8CMwAmhhoLhh7UOQiTGw+zNgBn73b2OrYX4YkNGRob4WDAW/AbeAVuADcCTYA+hYeiZYBCQy0hIZOk8qcMg4ezt15RskzfA8HowFKkeGcgPwjtNl3Dxx85T/jGSgt3NWPs8n/XQJ0s0L9ueXqn5e/LCr6u0hLI5Xfy1ydKR/HNgXdAVBMhVPcX8/WJGMkKp9klHsYgzs3gyYgd+929dqlz8GFpL1qUBH2TLgh4HzgAzMT4CMpZ4Zy9DriDmVTCbwB0DpUskSAq8E2sH/HpSDx0F/sBJoQeFJUJ7zCPwh+APQDv7v4CkQRfz5ZVq/KPkHxdEjkKuBTkH+BuaAqJKqfaLmYfGMAWPAGDAGGjgD7ULqr112VOkQNSLxWjpx9aKcdzzvDwrLUwv7Fv6IEd1ufpnUL2IRgdHc+gZGSuEZ1j4pkliQMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGQMNhoKRZs2Zfo7qNG06VrabGgDFgDBgDxchAKUp3d9CP+/bFWJkC6Hzy0KFDV1DOQQUoy4owBowBY8AYKEIGZFjjIF1R4gZHkQHcPwV+4fjbLQy0bt16pxFhDBgDxoAxYAyEMRAXA78UBc90lDyf+7WOn90aA8aAMWAMGAPGQAQGSiLEsSjGgDFgDBgDxoAxUGQMmIEvsgYzdY0BY8AYMAaMgSgMFMrAN42ijMUxBowBY8AYMAaMgdwwkC8DPwT1zgHK/0HwNHgYNAEmxoAxYAwYA8ZAsTDQs1gUdfXMl4FvSUF6M/5Q8AY4DvwJnARMjAFjwBgwBoyBYmBgH5RcDPYtBmVdHfNl4FXOUWB/0ANo534I2AhMjAFjwBgwBoyBYmCg68EHHywD360YlHV1zNfP5KZQkI7oR4E2QB+sWQleBibGgDFgDBgDxoAxkGcG8mXgpXZ5EnJL/rrrYn+NAWPAGDAGjAFjIN8M5MvA743ir4L3gf+La3oO/wIwMQaMAWPAGDAGjIE8MpAvAz8Tnc8GI8GvIujfmTjfc+KN4V4v6JkYA8aAMWAMGAPGQIYM5MvAS43ngHbwUeQzIr3jRJTRt5fyHFLs1hgwBowBY8AYiMJAPg28yl/uU8L716ZVPj/PuQXHK95N8jqQ6wbHz26NAWMgvwzoVy96MXZOfoux3I0BYyDfDOTzZ3Ku7l/C40TX0+6NAWMgPgx06NDhucaNG+sRm4kxYAwUOQOFMPDezl1fs9O/f60Pad6+ffv/oeBm9VG4lWkMFAsDbdq0+XSPPfaYVyz6mp7GgDEQzkC+DLyM+rXgWSDD/hi4Hejorz7k2D59+vyQgg+qj8Lrocyebdu21QuK9cV3PVTZijQGjAFjwBjwM5AvAz+aQraBE4CO5r8GngSngHqRVq1a+X+uVy86FLDQo3v16jWU8soKWKYVZQwYA8ZAxgzwWOivXbt2PTnjhJYgLQP5MvDllKyv2A0GHUBvcCzQF+5MCsBA06ZNKwtQjBVhDBgDxkCdGGjSpMlxpaWl2gTmTNq1a3cgp5gH5yzDIs0oX2/R67O0V4LxoBdYD/SzuanAxBgwBho2A/qut35ho+9kfJAFFb1atGjx9tatW8cm88kiC0sSIwaqSkpKgn5dlbWKrVu3vrmioqLpxo0bi/KfxGRdcSdhvnbwKmYG+Bk4C1wAZOBNjAFjwBjoPmrUKM/AZ8PGviNGjNDmZEg2iS3N7s8AC4ZKTgZ27P41TV3DfBr41CUXcWjHjh1/3KVLF71nYGIMGAP1wACTd053fPVQhRpFNm/e/Gg89FhNH/gyMQZywoAZ+CxoZHK5mGfcF2aR1JIYA8aAMVCLAXacw4YMGaJTjY61AndTj86dO/+xZcuW9kGlPLZvXAx8H+r4uoNLuNc/rYmd8CGQKmAvscWuZUwhYyAlA91YmK8ixl4pY+U2sDvZ6bTBTvwcXnmPoi/PyvP6bRK+f/Icb+l/zim6wdzGxcAvgvHDHdzIvX1RCxJMjAFjIDIDQUfc7UndEvTfZ599tnPVL3wKJV0o81MKG1aoAq2c/zLA2/T78Ia+fqrdICUuBr5Bkm+VNgZyzIDG8345zrOYstMvdrRDP9SvNDvFj3hn5l75cfLmD4qLe9COHTt+V1VV1SQuCu0ueiTbe7d6XyOTtjEDnwlbFtcYiDEDGLJvo95kUBZjNfOpWseRI0dqt9zfXwi7uC28xNba7xcz9/DevXtvRKdUBt5OAGLWaMWgTqEMfNNiIMN0NAaKmQF2gC2HDh26jDrYeCvmhqytu46Y9bPjAbWDGpxPX37FpNOY5g2u5llUOF8GXr9PPQco/weBvkf/MEi1QiW44KIPbsRNp4KTYAUWlgE+m/xFStSxYafClmyl1TcDvPA1CgP1vQz16Jw8mdB7BA1aeOv+q/D3BUjo2aCJiFj5fBl4dcSuQM/C3gDHgT+Bk0CcZDk/1Yg02HiGdxkva2xwlNeneDVR28raIcZuwxngueCQQYMGaaetl79M4sdAvl7Ca8JjlJ9z0nJV/KpcNBpV8UuIiqLRtp4VzZeBV7WOAvuDHkC75EOAnjPFRsrKypaizJ5RFMK49+MfIrgGvt9BBx20hPR9o+RRn3H4LvNrLGbUJibFyUA/1NZiclDc1GdXegQ7q1no1SpuumWhz1dI8z7IOc+dOnU6e9u2bV9lLsnFT2w1b6k/HAZM6pGBZs2aDWd+nYAKsev/+TLw+qcyOqJfAOYC7VRWgpdB7IX/iX0kjabf4Ov3+RpEsfw9fiZEMgkPYud4bCZpLG5sGNBp2LwDDzxwBdc4nhaN23PPPduhW8dCM8b/rv8Tu+JPclhuu+TP2nL+jLeysrIHc8sWdG2cgb57hcTtOHz48OV8dCvnC5GQ8sw7hAFOFI7p1q2bFuCRNosh2eTFO18GXspuBXrGrYqfBv4NcrFyJZv8CruRv7DbvZFSeo8ZM2YpVx3FF7U09J+LFHXjNWq0B6dNazjaDXt5TuMsE6ORczp8/yxEP1XL9bsFOgWstbDBsPdlcj0So1lv8woGdhOP767IOaG7MlSd54Ohucyf3ea7fADm87nMs6HnRT+otz6Yivt8Gfg9KPQeoJX1c2A2uBLE9WtO3ejwL6BfG6Dfyuq/G2X8jwrI45/JfJSNSXQG9BMgnZToq18mqRnoSB/7CVGaJKPJuC/Xy0epk1WHNsOVt2f/THSzWRw/Vl1a5g6dVqgvVP+WndOn5xiTM92s9LIi/mWuf9D9hg0bDiX+MUFhdfHDuK9nkdG7LnmkSNtuv/320+dr07YXjw+/ieF+O0Ve1UE8KujJY4IjPQ9+QjiIRdLJ3n0drm35Mt000mtTVxChTT+g7t8vSGFFWEi+DHxfuJBh/yeYBF4FtwFN5EHSCs/DHQzkvi0ohBzF71D1bwVVZtZCZ+sCOmedQcNNOCI5kUV9M7YlE8l0DF2D24UwiX+Bel9KV/EWQ635hrle2OsTpftwlHgDRnhxlLjZxMG4L2VnrdO7bKXj3nvvvZwFdvVjMdp6BXprJ+tKpRbjrmfQPbxhh5uOCAorBj8+hFPC7/nPC9OVNv0ci7yw4/wayeBM99W8YfCvxOBrfq6r9OakqRu6VC8e6pphuvT0jU7oPsaLR9/biwXhZd59Q7/my8DrJRUN0AfBTeCvQKQ/AoJEBv4wB4O4T7tyDcosGz8GfyyPWLKpS5Q0DIJR4JIocX1xhuMWT9pl1ae059lrZyYS9ZmGJpX01Z3ZVpq0XWh392XRbLMrtnTVRq1QirNQ+Q+PVlrUtbwtW7ZoUXtminyy/v8Y6FiBkQw8seQnaYeyAPhzinJrBCUXDzX88nnjlsdJxPcw8j/OZ5nFlHe+DLyMwPngbHAz0JGijhDDVvb6vOTVDrT7z9tOg7yLVdomO3BiGZ5tJcjjIgzkTwPSK18troJkFC8grSBAz0RTCju58UwOJ/giDaLMJdzn5EUsd2B75bC7fZRj04u9+7peOf67EqO4uq75WPqUDOikLl/H3CkLdgK1KbkHg1zq+Gd9y8nDJhLnJD9e/K3IWpEsE3J8fybG/8QskyeSMRdcx4J8fF3yiJqWeaESnrJeAEctp1ji5cvAe/WXQZ8HZMC/BOrUUUhv0qjRPt27dx/IG7l1estXq3YMfK2BwOA4BZJngz51IRuj+CNnJT2uf//+mujSLg7qUi76jwY5O7pncitjoRK2MHVV7USdF+LZzw2w+3AGWET9idBF4TEKFtKnX79+aykt3/NiwSqUg4IqGQN1Wlgwz5zKfPD1HOiSKouyVIF5CNNjAS1MYy2F6MjeTvNpmHgq1mwUiXJhu9dcqE/eXfQMlLz0saK6iF5UrLGA4D7oiDSnLz6hv44qg8qpS12ipu0zePBgLbwOiZqgDvE0uXSpQ/rYJGVBVqpn97FRyBTJNQOaC/L2CJRvC2gsLACHZ6s4fXAki/Ny0kd9LPwujy5+n215hUqXLwMvo34teBbIsD8GbgdtgIkx4DHAWmLvv3FzuOdh12gM8Bz9Xl6q0rsuJnVnoIwsosxNRf9z2bpTVTsHXv4bCw6sHVIYH04zm40aNUqbEu/F04wLZlMwjhcE9a7EnlES892HZevXrx/PycTYKPHrK06+DLx+DrcNnAB0NP818CTQ8W+cpTXK9Y+zgjnQLeoLcu0oq07H9FF05fgu37vtJugR9E5BPwa1XixK1JEJ6t/gzSg6h8RRv9Ez3DAZR0DU3UFYHtX+/FpjJ+8brK/2qB9Hzp6bV1RUlDJZjgqrBuGaqzQ+8yELeEasd4VqCbu0G3iEcDIB+pXNLFCI05laehTY4wjK07iJJLz8dwu737AX8bqRSU7eQYikTB0ihZwwBubIoqKEz01vI83+gRFi4pkvA19O/TRYteLtADQRHAumgNgKL2f9FOXmxlbBOirGT206k8WnIHQi9YrQxIYBLHouMITfok56p8B99j907Nix4mKA6swk1RxoBZ+tiKsHeEFLvwipJT169HgEI3JNrYDi9dDCaBE4SlXYuXNnCcecWsR40hOHFm+Rdr0YiA6863Cfl9i98hZ5GX3yUdc/F/d6PID+R7PAqLW4ZwI/hWfQ36Sc9vQXPUbolIsyC50Hc9sR1PPCCOVqPLzKy3U/8MeFmzG0b9gHdypZqGuxXEs4aXoOY9g3GVDKzxUvxb0f7b2Ya2mtBEkP9L0CHRTHpA4M5MvAr0SnK8F4oJWx3qJ/GUwFsRUGciM61m77LJBdUCs+d6o32V1jpzbZk0G6CQO1h24YgDvhQnGLWlikdOTFqVVMNL/IZ0UwPssx4p9RhvfOSY3i0EPGrrKGZ/KGtDdpAg4Ki7Ffu+R/OOslHelb7VhM6WU5T/ryFchl3AzzPJLXxvStE+hnibmHup+D8T4NfhqFGQmlwzBUkq65k1dObqUL/aMj5QcdM+v5cdSXzPqj5ySUinLcnxPdo2aCcb6YemoeTiv8y2Edd6u/VgvtdA8LsL9We0R0sGheB687k9H3Hzhw4I+4P3+vvfYqRZ/Q9tTHd+DSG0uak5pGLFJ9sTULtrDFSKRsqOsdnNyclCoy+itYJzuxlXwZeFV4BvgZOAtcAJ4DJvFloIznWBvotIkJO75q7tKMXUFjBvI3uOvu6op/Kc+n5+nFGYVxctGSHcgX3XhxuWfCO5XFpcZJ0YoMNBwH7uKcSnVn8ryINmnFIxHt5oZiBLY6cep8y+MLLRpkWDJ5LFLDqIUpwcT/f7TZRjec+h/FIk8nG3EbQ20Y1+1YqIiPrAQuQ3fpmWRIPgmOvWvEtCtYAOt0NZKQdzPqGrp4SJOJFmc9SH8CY/LUVHFZmJbwDtGpzDfDU8Wrz7B8Gvj6rJe/bD0XzWs92bmMY3exyFeonvnW5bjXl1VsnWVoNrC+tMNANOnTp4/eJzgKHObXA+PfnB1CKwb6OPlz1e4wcPfsTxfgbkJerQP8c+qVnOwiGZc6FCyeYiFMnlWbN29uMmDAgL2YHGst0HKhJJwO4uRGj2Cy3U13Z0wHnqrQl3pjcDZIT+3i6Iv74NwDdz+MQjb9TFnlTTia//X27dsPj1IA+r9Ln29Ju5RFiZ9tnM8++6wFu+zE+AzLAz1KWPy9z6JpI5x3CYtXR38Z5+r3DeDqN5Q1Lzkm07al+nIdy89r8rwavrxqHi1zHUV/SIMdExBdxz7eEVBAcHQvjpMGs6qv7iSk1Pe4r4ieQ7SYDL7VdPgvR4u9KxbPfX8iZJImSlwG3UPk+1SquEzio4gz3ovDirc5k+a/vHv/VRMlohf7IktyEI4lwetghD+h8oMvGX5/u/ijeO7QRQq7wLO3bt16ChG9cdKM3aeOob/gJc7kiiHQz3mqmLjU9/Im6PhzFp3TkwVoDIjcl8Dnk36xuLDjje3kyAdqLucE6O/piKItm8C1+t4K3D+m30U+Sk6Xd5RwDHEzHi9cTbleH62VjPlvGydaenyUVjiK30afb4bxvZSvwj1MgtB83cwY24/j18z1D7pH76bwm7L9GS9d0HukOGXuOJ34tY7dCWvMYuFwuK9VLosavQ+TSn+9J/IB7XeupyNzeSM40COK3UJyYuBywIQmoV87+WjifQb8wvGPfMsR4AP8k4kzacB5dJD+TNjTmFQ2kUHVqlWrEqtHnvPM3bhx4wAGQSMGykLi9abzbSPNKjrYKhkpOvo0Gr417gG4/03aQ4k7jw60mfgjcZfTycqIs5IVXcm6dev0MttO4k7Cfxh6zCR/sq0oVdl0xkagMZ1Tx15Nkkeb8m+cDGum33YSv4y0U8iyEh074rc3+pbjLsO4NaI+UzBiW5QncXVkXcLA1HFcFbqPJPxdBusg4jTiJx0dWBwspA59yeMDdG1FPv2pp1583EL8lps2bdqPshoJpF1CeZ3R7X2yk75NidOcOo8kn1nE6Yi/jsJmql4qk3xkVLVjriDtcMoim/bzKbs7A3UOUfZRNMp/S/VE1+a0zxgmho/Jd6DSwtk7ZLOTeCWkG0q6BeSzv3ggTWcG+SLCSteuXXugypOo7SjnPZzbqdN+ajvS9lIYea8lvCM6qrw15LcR/ZZS7gFKqjLJeyJh/cUpmE05zcBO6taJ62DSVpHubdWTfBPlwsFUdNlG3juJU7VmzZqDyS8xmRA2jbRkubMn6eZKD8LHUdYG/NpR/3nwo+e1Kld57k8fmk/+q0EFnJNt4qWlSvGFV4In5UM9F9Dn9qKMTwlrQdpteHclrw+5r6K9hxNHbdeRfKaQtgV13T+Zdjp+beGzD3q9g97qM83gbAwcTFJdqH8f6Yj+08lOJxglxNHncRM64V+hdMRJ6ER7TSegOXEGU2bic6nwv4w8tQvsTLjG3FbyrWAstBbfhGnHmxCNHeKVSXfy0X/Mm4u+Y0n3AWVtwU/fm+9L2m6gCfVUf9upccdCJpGW++3053ddnYg/mPj/UXn0r5a4F+LuK53QQ29Aq40rGc+JtkPv+eTbjzIbkfcieOpJn68g/nKua7nfhzw0F7RhrPTHPzEXeHVBz0RfFJfku1Xc0e6HJMM/o10W4TcYPSvhfwJ1FbdNuG8JdyNJo7ExkesO/MVxC/TdX+ODPAYSXy+DvqU8k3UpUxhpB2KUEmObNJ+ifxX1W00+m0mjtuuC/wDK3obuk9VX0XEOdehIHcrpx52pW5l0Uj/110ccw0kZeeqf6mwhjwXk2RTspAy8m+yEm4GU5c170lFt9xnx1X/7qO3Qcxk6rKTMUfCsMTGA9JpXtuHXlH6wEPcqoLHfCV2a0ZfLaLdKkFiko+uH0o36DiNtOWV3Jq0WzQmh3KmU2YY8BsBfJXVKjEfqOld5o5PGu/pOD65tSf8x42csXH5EGZpveyXHjvLVwqmcupHN5hHE0djZTEGa5yr9PFHuJ6TvTb3+Tn6n79ImHn9TrW4KqeEKCtPzej/+wf3CuihBpzqCxn2BBu1PY95PI6kjjqVxD2Bnqd8QH19WVqZd4+WE/YEGak6jTiPNQhqzea9evQYR/+/sxvvh14mwd8hnLPdTiNueI8Z+pH0Q//YMhDcY4Prq01Z289qlXs3LKn0ZPHPpACPplGPpsGNJP5yOui95jCDNPuQ7kjijpZMGLouDQ3r27DmUDtmNTv4q+SjNWOmG+2TCWhL3KgbqdeQzmLRjCD8APUejxz7UdRjPhfYk7BnijCB8K/E3U9a/qWtL8niIeHuRXwf8f4LOfTCWh7BjGQJf11NuP+LeRZ6l5KGBOBo99iPNcPLtjf+15Kmj8cZwtAGMVn04shxB/Q6krvuSzxjKXkucQ6hnK9K8P2zYsK6En8VE9JzqSrljGUzDyfsZPn/bmnLPIexR0u5H+FjS64t08/lHKj1JfxuT/ijyXoOf6rofHKt/DABjaLtbyGeY0pDnfPRpQl53EyZD8g4DdJjah3gbSC+DdxBl3EiY2vXPlLkvee7Abzvu/Yk7nP4xgvbvxkA/ift3pDOcjaI+D5DuSOqyr9qVyehg6UT8yfhLn/G4+ygcfTSpjAMHwM/LxHuI8Mt4fNAGXV7GLR40SV9BXu3IexgYiU46Nkzkq7TiCdyO3w/RqTXu15hIOpP/auLPw/8M8u/OkXQv0j6fbLtyOD0AHvaGjz8Q5zLS9SdNO9pSi8YDcO+PARlD2F/wG4IOo/DXKcty6ptoV/IfrrYl3xFwvD/+Y9H5APUH0j9NXXvTJxM8aaJnohtMeu1qZ5PvhaTfi3j7kuZg+soeuHuQ5gnC+ksnfk/cGh2+CM8DCP9Mxp30D9O+veBLbS6dmmEkBhH/UPToxotae+GnE6RWxD8WLmcF6YSOr5DHfoR/Qtoj+QJkC7h5RDrBiT5ssj/5HoBbpxtfJl89jrmEMm4lXTMm/HW0rxYPLXgcpLZ9CD77oZMWT29zfyB66joQ9CduP8r8KzyNSPI0hvCnCVPav9N2HanrifSnd9WfwP7wtC99vIyyzifff1APjfcDNCbRcyhqPMH/fW9Df/om989yr742g7ZsTjnPjhgxojX1eJw6tqDsyYRr0fA74vei3Yag70jSdabcY8h7AtD/oHiNf67VAQ718unepFefmAYXWujdm9S3H/W+Dv9W5Pk8bbuO+E3gSnyOUL5cExyir76KqXnvedJ+nbmkJ+lGqG6UJ0M9mLo2p60HE+8x/PowT51J2/VH10+INx0d2pLncMaGHqn25b41feJg9aekPqdR7x6E90THF9CjJVhKmf9Jhp9Dfcu470K+xzHm1Sbi/Tj47kzaEXCm+UYLjNZgrYw712fJsxPxGqPz/eiXmPfQRTq1Y0xpjn+AsP7c7w8XY9R2lKPxq/zHUVYPyngMvg7jPlYSFwO/E1YWO1jH/Y66sEVHqmLQLCKPz9E536JxtSNYJn8G6HaVh79WZJqI19JweuaSmOi5auegHd1GwvR9Y+22tymtroR7X0ybvGzZsq34rSZ9BZ1GO5elhL81f/58DaIPlIbOsYYBpJ33ZqB8tdrXG7oJEFaliZt0x1LWZgbUxQzKM5k0/kzcjXQerR4nzZo1qxtp5uCnFXpCB9xVLAx0ElBB2vvBDvw2E67duHZlWnh8pnjksQG36q8V7sMa+PidRXniRs8VF5BGu1zpqN2pduVVK1eu3IQOWxlwmtAmUF5X4lWgXyMG1KoFCxa05v5x+akc0qjtZsPBnvi9p/K4X4pbpwXST/yLA/EhvT4lTHVMcKN8qccSVv3aZWqho1W32jIRjltxZdzeI93aZB6JF72WLFnSnXznEzadyUUv1+kEZRs67OBaweOFu8j3R/gvAK/g3il/8vDavBHclFK+9FosXYmyFZ2Uhzh6jfIvYJLayf0U7lWu6iN9lmFINqPz1XB0GP7vo18V3BF9y/mELyLfytWrV/8Gv4m416DjffgnhHwrmcA+w/911Qkk6sv9eiKsJE0lk/8f6NdncF9Bn5Y+CxWPnWgzrpspswI/7bBWc7+FtBpLq3Cr3bWTTnCOu4qJ6x7CXqT+iX4oHtBX6dV3qsrLy1tRj6ZyKz11UFB1G9Av9AJjgie8Vf95iote4mWJ3NRnE3HeU//Bbwf66BRN7bNK9eEqA6z7CozDP+HjTsYCa+Jt0p8uWKmTRoUvkg4AZ6NN5JNIy73mj2qdVBfCVB8dS3tjfeacOXO60YYJ/ZL1acQEvxhD8gXifSI/rjqF0261gr6+L+04DJRQhgrdpDiE6UTt6/A7D6hOc4H009hZT9QEV9xr7Igw8aIFnvTVPJeY1wirouxZ6Ks4K+B5PHy8rfQYq8nKC2yaN29eB8KX4p+YO0i3XXFIpzGusjZKX/rsrcwz/0tfvQGdNa51QpHgAvcnlHUkV81zWvRXEe/vtF9r0oq/HXA+m7E8Hrf0XUC+q9G5Ar8L4aKM+8Q8iJ7LKHsHeYtz8ZyYY8hH9dDcp/cS8C7RPKC89Uw7MbbIbyLtezp+WuzOpy8OpE8d54XTr7VYeCyp00KlTUL1F/cqbzNxKvBXXHGpOPoPhNV15V7tIX/NGYn2IK7SJnRiM9WNfvkuZf9s+vTp3ehrpxK+Cv1UF41rzVHSWX1iE/1kG3US72pD6aG+pfw1H+ooYxWQTrGSklhpkz9l/q2s6WyaxLWzyKUsp3P0IMPEoKUT9GPy/j73r3P9KmVOZOJtzSBRx1CHrSEyJPKgwyxncaABuJwJvEUy0nrc36dTfpi810Q4hMH2cPK++sIifRJ1q/Vmb3UEHKSr1d7oq5OMB9D1MnS5RfGZUCcwga2m869kQpyvAYX3i7hVBxmSs7mMkhu/6UwcY3DqBaN3KCNRH4Uhq0F3ynjqnXfe6Yk78RwQPdfiXrt48WId7X6KOyFMOJO4T/AIp5pMH2eBsIhADaJlu2IlypSziXfvXbUYQRc9HtmTies3nr//umLFij0pRwYvIQz0R+H+X969rhinStoiYdg9fwb+4uXLl7cjbYJj9Huc8v7OoK7Wy4tL/cThf7hfw1VH2rV0JUwLRxnnaiHPRPsoPdgJF01ktFmw6JHBR15E/GWUHvPudWVy3o7fBPRZ6fnTHotYeHUmbaLdPH8m6ONotwTv1D3BBXF3ylhT7wT/ioux0UR2O3o9x20iD8pW/VfRzo0pazl95M9w6m9zJa0h1FP1kVFPK+Sp8rVQraSsF0hL8dvK0yZMH0H17QoVk9JHrY4hY7yI8p9CfxmvhHz66adt5GBMNyWs2n9XaPq/cJ949KF2pr4fk0JGRKJFnBaHpdR7B3mXYrAXMgecjP8ripBKGLOv0J/v9MdB1+b+e8Z5D9ouoT/+5fT1q7jW6B/++K5bbQmHb9FfKuib3jxVIxqLxm3MJeuoR5XGmz9Q6fF/0u/nusl/E/1Wc2piE+CFw1tiZefds1CYRV00f2UsjOOhtN/xJJwBeoIJqTKhHbQ5eDMsDvntZKOnfGIliQklVhrlSRmMzKTZs2e3Y1Bp951W6Eyh3JBHxdKlS2VIglZsGqReGS8wYd7BKnUQg7W7CmVQdPTSaVLGXQ68AY6z0XQMybe53q+bANECxR8/IEptLwbkZibw1wjRUbIreqv5PjwTkzDxHmHiHobuxzAIDl64cGEXOvc8jLQG6xwgIzIVyAgs5yIjt4A+/hSDcwluv34KV7mjwTugWthJPwk3T3keTAa3wu0Urk3xK8cQ/Y1J6wDcyr9aaEvG9faJ1R5JB34ymGcATeY1JodkFF32JP//8d1XO2mbXppEqKue8z00ZcqUbgSupE5N0FOPcnoS58pkguXodx7ulJMjE+w3ibMimSZxQf9afQsed2CgZ7BjbqP+RXlPgw3saD5mQuzOxHyvPw/Xjc5VtNXtpE3sZhWO3w4uo9Dz1058LbSqWGC1pG5avDUijo7Bj2PS7O2PKwNDu8rAazG3FcP7MGlK4PpDyvsV7mtI80+Cqxcg/vR1dcPLVvrm1zLJByNSNXXqVI0zt22qFz/Kj/qonVuly5s+eANxErxyLC3uNFYWM0b2pV1OTZfeDafMq2gnLX5rCfldhP4LaTst2K6kXf5IpOdrRYzgwTHzNtrpJcryj4V9abefR0ieMgonDDrR+gt9plZf1uIM+Rdtp7lwXMqMAgKp99N4lwE/R/OYh5ozJ1Ubebg5Gb4u9rIgrLnnDrsylhonFx1avHn5J04dwtJE8WfO/AnxBkSJW8g4tRqnkIUXuKz36XT66dQOrnrzsn2q8hm8avTEwKDDNfPHZfDJsI9hIG71+4e4FfdjL4xBIUOnSUJH0HqxTkeZNYRBqRWuOznViJPJDWWWgCbsBE4jXY1dY4R81hKnFxxcy7UULAhLw8Q1F05eCAn3FhYl5CVjGSgsbsaj6wkM3hMCI+DJs7fpGNqbvHA4XIcR0LP+HUzGb3n+IVdN8tv8YfBdwkTRC78hXJknEpOI6qnJZBEG7o/sZH+BW32iVptTvo70teALklnoJIO4Jhk4dcaMGdpBlfsj0y91JP4EOJcJqAX1f4V0g8n3IOLVMEz+dK4bXT5mUdE26S/9tRCrUV8vDc8RX6S+atfnqeOtXLUQqyVMivOIp0cwW+lDFxDhMbgWH1q4rMHvDK5bQCyE0yy10cXouC6VQnClo+r7U8Vxw+gHOp7/K/4a11oQ1+oPbhr3nl32S3CmPlBLGEOz6QuJo3j64W1EWOVF0mKExWGNucgLS3Fd7IRN434tRj5SPsyDWmwnhHprTkosdORB2MMsAP+RCAz4A/9VeH+SDKr6+OOPWzG2E3NfQHS/l8pZ6PfAvYz26s/Y0Au+Qe36JvpM1PzupKtxy6JDbXZUDU/nhjFXSV7+RZETI/BW/X9eYEg9ejYkA19NMxOWOsjl1R4BDhr4FDqLnrnPZTGgl3j0PDpxtBYQPRMvHXHWEAatJo20q88aibhBJ72tXur6u/fkP506v+L6Z3C/hLjVAzuDdLWistv7E8eC1/sDWJn7Df58wp4D2vlHEozhzUw0WhRpQslYWH1/m0R9wWy46vbJJ5+chPtuLyPCH2NBcbt3715Js4I+omPUQKGNBpLHd5OBc2kLTe7++lXynLU7/UvvGzzDYuB5whcATe7eLgNneqGcmzHW7dBnMZibKgULTE22Mv6bMDg/SboTO1sn3au02Z/wk1FrRNwLmWjFd5xlTjrlGD9bMbY/ShcvH+G00QDy1eI5stAHv82CZHrkBOERZ5KX2vshLwoGf08WcXt597qi4xv46TRM0CM+vRQqA9mII3T/mJVXSsHYV3Ki8Djzaug4SpnBrsDlzJMHoUPQgnUTc4tOVtw5oJL5pRNhicdkLA4UXr3hCioTLsZRzjeCwshHjyi0cC4KaZAGnpb5jElKRiSt0DG3MOkmOg6d8346V/WKOm3iiBEYtOswAhrwGQmT7mZWpG95iRiQas9abUqHPZ6JX0d99S5MGK/C/a98irzFivlK7l/y+WXq1AsxKXeQcNOUHVHXkIx1lLjIF5aRLrSfnhnM9KV3nZoUU+0IFhN+MJPKDVxXwM9pXGV8sxbq+kXy+VY2GdDPl7PTShhzLz38ZrxT9dLS5i08dz6u1HVP9K3V7/NRVg7z1AIv01O61fSRttS3WwQ9Nk2ePLk77ZZ4BOPEryCfO/Gr7pOMwZNZqO7rj8f9FPyH45cw6l4YC8MFGLrfc18993hhqa7MVVqs1uhXXnz0rGLR0JL7TDnxsgi7ziLgJPqgXtAMLDsgocaev78vmTZtWjeNARYIerlZJ3lFIcU2KDIiVTtujHOko6goGTOwXqGRM9pRRcmXPBUtaCBGSZ6Iw0JkOxP6FCa6iZET1TEiZem3/HVdze5gAXIjqlRPNnVUKzA5R//n0h+OCAysm6feAkv7HDdCEe8QJ68cSAcm7LTjgcn/CPrkek4VWnD9wNM9m7bmTWX98kJHp/4J08syJ1cWJPrpXs7HZYByS2U08deCrF6E9juE+h4Ip6UokKotteAcCi+zePmrbQRlZbR0epZWMHA7OTW7iohBO2m96KrfyX/GkXwP4kTq0ywaKlgAPEPe+egnTzFGtYnQ7j0bKScRVDbWL5GUPtt8lLagslsbeFagL9PRHi4oo3kojAG9koFd49k5HW07P5nTZKMPh5To6IgFyPHUOdIgzYWa6LWC8nJxZJgLddLlMV87knSRMg1non2CxVXcj6sT1eIxxnaO7SP1DybaKn63fDeLr38qMYujKZwCRZoveAG1B/ETu3Ymbv0i4Ur6a852ZhiQxHGrr61kcBO7M/TenPzFxjJfeJBTj0NkJCMLeStPzfAyhqGihRAnRhnlHZpZ7QDpsITx/n/w8GDt4Bo+s+jzj6DPLfhGavcaqbO7mc6RuD6Ocw3JhwCdVEQS+K0xx0VKlEEk+uJOfpWjly91YtcgJF+dMBbkscoMfI4SC+X+q0RjjHfKHSD1+Op/o+9yMYD+jOtdJs5rOar/hGdqJ3px/M/HmAjaeP65vqL3gaBWthg9/b63+uWcWhF2Iw+M3l1UR4i9YOD1pv63s1GU/vUA6YQoMor484h4VJTIQXEwEoG7TibpHXCuU4UZ4EtuWsL1CE1H2HoBMFRYlOkTZSnjhCZOE8DiZh2PbTYwDsrSRM06mEWTxv/IiRMn9uQ32lt4lyBsnHOwt/anWReUJiF1LWUR2BnjrK8Q6l2dNWw4xiaTpVtkpck9t8G8nLsNHQ8m11AD71uYfcbJB++hds3roiO3NaydW5wMvGsQIu0WalepuHzYUb3FxJuN0tqxvKeEDC7tjryO+Cp5/pq3ffUp2S0ce90XZISVLl+iwY4Ow/OVv+Ubewam1lHDtzAal2CEu5DPsf688NNpwpMsbFMd5aY03Cw+WvL1vY2Mi+pFscpIvsPiLy4rN8a9grw2ZZU4s0TTid5PJxFw0gF35N2yVwzpNrAhiHyU7qXzrozza1hgPMKC4+8cg3veRXmFx3fpE19IKq9FwOfAo0VZmaTScTGivdFHR4F+XMD90KSesb+wWi9nd5SxngyQaaywT804YXiCrQy2XzAB6uts21jZX+pGZYWd6tmdGz3Te316TAvH2lv7THOy+FEZ+OS9997T45pUL/rVyIvFnz6Wn89+UKM8Jn89t+1UwzP8poITqr8SrIVrnYV6+jcPz3D/OOPDfTa8cO7cuRrAE4IK5KjbfSwQFK0+/BbA7cfMIV+n8IwtLG1yC+n6g1XZKE/6aTLu2aR10zBfrZ8wYUIv/MvdsELcs/B7iPnYb3O8TVMhis9LGXHZwX9C7Y5xang+9xn9jMRJX9Bbjg11DJa3o7AUldHzPv8EliJqIuhfyWfRfdNFzCacvN/msYB3RBeaBYNJ38qeHBohIICJTF/V06dUA0IbtNdiap94+ycqC+xW3mRCfStq/LrGo731uExHVf7d/Ta9nYyfTqOC5GM+L6uFS9YTLWNjOwtOv9HWPzN55aOPPjqDfHf4CtWpkwxdkCxkfL9CPv8ICixyP3EwPw514PHKGvTIqB/HQe846xAXAx8bjtg5lGKk2qBQJZPAnhxx78Qd19W7vsT1BhNWJhOgjp6eYQfzg3yQzs9R7idfIZ30Y9LPaAFH/Ev4zvsR6TLencOT3yWvcxXZeRX6/RR9/0Hwi3Z+em4bePLASZMMauQJn0WLftXhzmkbOcU6218oC9C7uX8PLPT7p3DrZ7VaEEQWdG+BwYoc3yIaA/lgwB0MuSxjTzI7CXgvvLyCe04uC8hHXhw3nUm++nKYVpOHYEAn8hLbhfkoKxd5srO4Phf51EMeC+qhzGIv8nGMWEcqkdgF87xwMzvUqEYqFnVnkdaDkxvt5D15y3PU5YrR1pfOloOHIuSjo/9pEeJlHYXHdfpvcB9lnYElzDUDy5M/cdQGp8FIvgz8HjB4D7gZ6Bi2LbgS3Ai0co6zaJch4y5JHO2xK1iV/Elaqhd7dqWIyV90bswk0zIm6uRMDdULxPZEJZOKYowy/Q29vk9+q1cG9n0U8G7jeP1o0qRJOmJf5FNuGEZ+qe8+J054GB0zLtZxEljKSVn7nFTQMqkrA2+QQRkoqgVxXSudLwOv57vPAb0054leahkG4mTgvWeAiVUdL8oF8sHu4EH0/g/QcWKdRUaqzpmkyUDPC0HYM0X9R6eifJDNicpMnsGvc6vPZNpMu0PXP873tMGjPAcfGGcd66jbLNK7fT3wOD5qObSzFnd5XeAxbhrxM72eUXXyx6NNV/Cp40RaHvd9lV8D7FYnVYWYu/x85tjdoIy7uAs0aDkg9X3yOBfIMOonK9rB6w1aHX/HSeagzCgwlYG5iWd1es4W9FxYR3pzgV+WJv/bWKZHfSt5Tr2OZ8lN/Znl2k1d3iHPr4Xk+x7/SUzlB9U1JEk8vMOehfKo4rtoeEU8tIymBf8U5o5oMXMSa0PyhbZtOcmtfjJZpje2MfIPUPyxUVRg0Z7xOKOPXUveWf08irH9O9LeJd14fPJvXTMV0jUDXTJNV4D461m8lPLIMk6btAJUu3iLyJeBl0HUW/B61qbVrHbIq0AcJfE8k4njZZQbkoGCy4mbzS54MycCXyetTjjqRajrixQcxwmkLnxosVJ0C5a6VDjDtP8gvhazszNMF6foOzC+F0khTj7S6oVxf5PdeJ+0EWtH+AyvKbW9I/nopVy9w5O1cBL1FRLH8XHgJhZXXUHWdSvmhCy65vLy5OH8m++iqUY2BiqTyqmTzgNxNe6Z1MXiGgPFzkBiMVvslYiqP6c6f2VCPiJq/DzH+5ATvz0p49MI5ejlvN3qaD9CnSNH4bR1B/9bokfkBDmKyH9QvIpHhL1ylF1BssnXDn5vtH8V6KheK1pP/oTjBe/GrsaAMWAMeAyw2y5ll9Tau9/Nrlpcue8j7GZVLEx1WLj9lJJuKkxpxV1Kvgy8XqQ5G4wEvypuikx7Y8AYKAQDvHGuDYA2BZGEL891jhTRIu1uDOgRSr2dcPAIpRf/274oHnXly8CrQ+kZc9TB2oG4pymRT8bhftd3vzs5l/H95078HrhOz+p2J0KsLsYAL6hdH5UFjmn/QtwlQMfZJsZAwRjgpGkARt79aFPBys+koHw/g9eLaJ7sj2O0d+Nc9VKeXsTzQ8Y9dgae3yE35pOWWkHWRRaR+Mv83Kthvq1SF+aKIC3fTNAvRkzyy0AlRt7/M9z8lma5GwP/ZUDzd1G80JvPHfx/6djlSvVyiT61+rCbII73GPix6BX27eyMVOZzoc0zSmCRi4GBl5JfQ3y5GJQ1HY2BQjDAYqyERzDNQsr6rLy8vEfHjh2XhYSbd5YM5NPA643Rk0A3sAIUxadq0TOdbE4XIWL4u/wWXSvBGRHjW7TiYKCKyeyp4lDVtDQGCsMAL0++xL+wfiikNJ3cduUnkGtCws07SwbyZeD3QJ97wM0gVp+q5Tfom9k565l/fctyPq25X30rYeUbA8aAMZBvBjDe30xThr2PlIagbILzZeBj+6laXo44D6JaZEOWpTEGjAFjwBgwBoqFgXwZeL09fy6I46dq9YJcXV+SK5b2NT2NgawY4FPHbTp06KBHSCbGQLEwsPGDDz7QI+HtxaJwvvXMl4HXW/HnA+2U9anafcHjwMQYMAaKgAGembbntKsINDUVjYFqBmRj9Gutj6t96ujgy3Xpv4lcxzLymbwkn5mTt/ep2m/luRzL3hgwBowBY8AYiPrtlShMzeIfQunXXU9HiRzHOPnawbt1/cD1sHtjwBgwBho6A3wLY+ekSZO6w4PeJDeJFwPbeDnwwnipZNoYA8aAMWAMxJ6B0tLSNZ07d74ARYfHXllT0BgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBoqRgWL8V3inQfRPwdFgCVgO2oP/A8eBd4D+H/DVQHFPAP8C/YHijAQTgCufx6M3WOgGOPcq60pwHhgCJoIKMA78DLQFM8AgcB1Q+Z3BNHAGOAdsAIuBJ11w/Bgoj+lA/4UvlSiedDgJqK5zQWPwI/B1MBOsA6rzZWAgmAwkrcAl4G3d+OQY3BcB/T9l6ZpK9F8IlYfiHwhU301gAPBzLJ2+DL4DVgK1leqve/Hi6Ykz8a+Fb076j+L6pjxTSBAHin460D+IWAuWgtuAyhK6gqnA5QmvhKhv/BTsDdSu6UT1VT8T52rj94EknQ5TdkVrdAhX1XV28t67BLVRWFwvjXcNaxv1W3eMuP3RbT8vT11VT/94qvIHOu4wXtRm/jES1u/D6hrEi1N09a10VVseDZYA9b2gMXI4/peCZsBrh7ByjiWO+n1L8BFIJeI7aJ5wOVZeF4CTwSygueFzQOVID385iit/jXvVZwVIJWFjRGk0BpeBjcDVqTl+PwHS6UMgnTw5CofGj8aTxvxCECZhfVHx9wKqh8ZjULsMxV/tNwi8C/xyLjdng9VAbZtKVLergTtGlcbPge79OpVyfzE4EZQDzSeehPVbL9yuWTKgCel20AFoQn0B9AU3Ak2UGhi/ARqsj4JOSXBp9BhQw2iAaPD7ZTw304HyTycvEkEDXZ3yeHAvaAWeAG3APWAg+C74CpAOrYH0vAM0Bf8EfrmOmwPAYeB//QEB7n3wexb0AS3A3eAocBaQ8ewFHgcKexqoPBk8lV8GngKqg180GT0E1KmvB9IllfyWwB8C8ayB+ErS7XIsPsWD+LkGSMST1y4qz5PROK4GCpM+qSSMg+Ekuhm0A88B6eeVdSvuzwOXJ7yqRX1LvF0FjgapRH3wDbAvaAI06V0GouhAtEQd3+Z6uW58UobbbSPxERTXl6zaGdY2NxJjFPDGSFB/dNvPyzRoPHlh7jWMl6Axch2J3X4fVtcy4rq8uGV792HzhNv2bUigMaI2vwUMA2UgqBzprzhq63+ALiCVBM0Tiu9yfD5+0kv99EnQGGh+0Ni4F3QHnnwPx1eA5hPpnUr2IfBZ4M4TSqMxPh8M0g3i6nQKfseDnuAR4BfNYf2A9G3uDwhwh/XFQ4n7JvhdMo3bLvJ+BqiM84CMsyeab7T4UJ98zfMMuYb1RUV3OXB1Ook44lt25iHgl6B+6w+PjbskNppEU+QbRPs1WAe0ersLfBGoE08B6jRDgAbqHkBxjwCqZxVYBTQwDgR+mcjNL/0eIW4ZT8kLQPnJiHQDKm8a2ATkp0lrX3A4uAYozhqgDvsDsAz4ZRI33wSng6n+gAD3yfjdAxaBrUCd7UwwFqjsxaApGAmWg5uAyl4IdgANJqXzy3puNCnuBJq4KkEq+QKBt4Dt4CMwGewHXI5lUDVRiVsNEuk1AEhn1bcCeCK+BoNfgaGeZ8g1jIMxxFfbbAAzQD+guvcF0u0V4PKEV7Wcj0t6jAKzq32DHYfhPQGovVSP34ITQRQdiJboF3+Uw5GgNlIfCorrJE3cBrWN6uOOEfHSCXj9sQS32354JWQYf/3jKekdeAnjRe3ujpGgfh9W1yBeAhXAM2yecNu+J3HnAY2HOWA0CCtnC2EXgBOAjPw6ECZh84QWCS7HA/F7D6g9egMZ+E+BymoDNDY9uQ2HFgEybm09z5Br2BhR9L+Bx5Ppgtr9UcLeAReBN5PxvIva8fvgMtDC8wy5hvXF5cQ/H4gLidsu4ldh4mQmOBB48hGO34JzwceeZ8g1rC8qup8D3bs6Ke9x4AdAY9wvQf3WHx4btxq3mEQdfpWjsCae5o7fCu4vCA2zmAAAB4BJREFUB98DGuwacF5nklHSAPGLOk0U6UikZU5EGa0ewDOayl/6aJD8HPweyKD1BQpbAjqDFsATTcBzQTkYDlKJJuWlvgiaEMRBO+DpIAPdHuwN/gdoAO0HVPYGECZXELAIvBcWAX8NPpUjo+YXceBy3CHp9wuuvwalQO2iCUI6Hwk80aD5GbgUiC/VK0yicLCNxF47X4D7D8nMXJ7ccj4jntpYbZJK3L6gusnPn3+YDqcT7y3gb0duE+K2Uaq4XhrvGtY2QWPE7Y/S220/L193PHX1AgKuUXjxxog49vf7VHV1eQkoutqrDa5V1Xe7HEFjZA5BGod3A/VF9Zd05Wwkjtp1AAgTlwPFawq6AZfju/C7HtwJ1Ieku+aHxUCLDc1dfunCzUPgIr9ngDtsjCiqjKYnzXG4OilMfelDcJBufHIT7h8DLeq/6/N3nan6ooyn6uaJf8xo7hLeBPeBs4G484vylkEWNy39AY7bbQfxKz+JnwPduzoNwW8lKAeDgV/cfusPi5W7JFbapFfmbaJ8GWggngrOAuoImpQ1ULWq1cpaA0QT906gAav4Xkfoi3s+yEbUKQ4AyktG80ggw6bOrnwlZUD59wFbgCbx1mB/8AiQ4S8HXnycjfYBGjg3gHEglbxGoOouOQWcC94A5aAMeLIQx3SwHkwB6rCp5DoC14BrU0UiTIZd8YaCMnAYUJtMAC7H5Ul/DRS1T6skuCQmdk1WnohHTZybklcN4jAJ42ABCcqSicS/OFA+PYEmc0k5KAOeVCUdjbmeB6aBv4ADQSp5i0DVW+mOA+qLmhCj6KC6ngh+Ds4AA0CYZBI3rG3eI3N3jLj9UcbHbT9PJ3c8aUIOkzBeyknQN5mojKvGiNvvM6lrMqvAS9g8UU7sMl8KzQt3AbX7y2A2CBNx8FXwKngJDAdhEjZPqG+4HKv/nQPOBzIy6rcat4+BZ8Fo4Ina6G5wIfjA8wy5voZ/0DzhRle/cHX6En5NwX1ACyP1cYmuGrOVYG7SzSVQUvVFN0E5HmU+T3HyH3A20Fj0t4v6jAzsE+AT0B2ESVhfDIvv9z+cm98BcdAVlABP3H7r+cfuWho7jVIrdDXB6uAngb2SUVdx/SP4E9AgVJxyoI6xCHwK1Bk1YG4DvYEm4w7gKnAxiCrqtN8CLwIZ7r3BRCCDJyN2K2gLpI8GgsrbCm4E7wMZ8YOBRJ32N+AGoE6ksObgDpBKHidQHfxfQPHVwS8HmhSuAxItJOaA5eCXYCgYD1zxOHiIAE1yb4LDgfTWRBYm4wmQzuJ+GCgHEpfj9vhdAqSn8lsNjgeHghLwc/BtMB+IT3GxBCifnSBMwjh4gQRqgwNAOVgPBgFx7Yn6hZ8n+d8DxgO12e+T16u4phL1KfXF14HK6Q8eBM+DdDqoDIl4GAuUl9cXVuD2S1Bcf7jrHo9HUNu4Y2Qe8dz+6LafFjmazNQ/xNsi4I0nnIESxova1R0jHfHz9/tnkjlG4SWw8KRn2DyhOvjbfhv354J1QH30FuCKN0YuJuBocAjQPPNdECYVBATNE63wdznW4lNtIx3uBTPAd8D1oAf4PvDGiPJUH/0lkJE9DYRJ2BgJih+k0w1EVHs9CarAPWA8kE7qk82A5rVUMp7AoL7opnHbReGHgS+DruAHwOuLGmN3gqVgLdDcESZhfbExCVSnVKJ5+AqwEbwCxLc3RlWnm4D6jOKZ5JgBEatG0nVkMu8mXAW/qBP6xb33h2XqbplMMIirJgGJm38pftLTL24cLyxIfy8s6Kr4TYHyH+2L4OYvjvIlHgea8PolC3HLl7erQ1CcZPJEnTx3umtUDoLyCdMhzD8oD89PpxOSMbsuib/Z5ONLXmdnUNsE9TFXT/fer0iqMH88zx2FlyCdvPR1vQbNE8rTrYfbP1OV66ZNFVdhXjsMwh02T5QQprnCL5mW40/rd4eNEX8cuYPKC/ILi+vm57/3OPDPE/5wz+2Wl6pd3LheHmHXoL4YFtfvH1ZOPvutv3xzGwPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDuwkD/w+vlWBc1RNpswAAAABJRU5ErkJggg==" alt="plot of chunk unnamed-chunk-5"/> </p>
<p>We can observe that scaling the variables has a considerable effect on the results of PCA. This is expected since some of the dimensions contain extremely sparse data which make the absolute variance of that dimension smaller in comparison with others. Hence after scaling we can see that more variables have significant roles in the important principle components.</p>
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