Minimum instead of maximum (hadley#453)

amilenkovic · Oct 3, 2016 · c989bae · c989bae
1 parent 5ea91ca
commit c989bae
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/model-basics.Rmd b/model-basics.Rmd
@@ -192,7 +192,7 @@ sim1_mod <- lm(y ~ x, data = sim1)
 coef(sim1_mod)
 ```
 
-These are exactly the same values we got with `optim()`! Behind the scenes `lm()` doesn't use `optim()` but instead takes advantage of the mathematical structure of linear models. Using some connections between geometry, calculus, and linear algebra, `lm()` actually finds the closest model by (effectively) inverting a matrix. This approach is both faster, and guarantees that there is a global maximum.
+These are exactly the same values we got with `optim()`! Behind the scenes `lm()` doesn't use `optim()` but instead takes advantage of the mathematical structure of linear models. Using some connections between geometry, calculus, and linear algebra, `lm()` actually finds the closest model by (effectively) inverting a matrix. This approach is both faster, and guarantees that there is a global minimum.
 
 ### Exercises