diff --git a/doc/src/Regression/Regression.do.txt b/doc/src/Regression/Regression.do.txt
index 5c759419c..dce7fd0c3 100644
--- a/doc/src/Regression/Regression.do.txt
+++ b/doc/src/Regression/Regression.do.txt
@@ -2525,7 +2525,7 @@ $\hat{\sigma}^2 (\hat{\beta}_j ) = \hat{\sigma}^2 \sqrt{
 construct a confidence interval for the estimates.
 
 
-In a similar way, we cna obtain analytical expressions for say the
+In a similar way, we can obtain analytical expressions for say the
 expectation values of the parameters $\bm{\beta}$ and their variance
 when we employ Ridge regression, and thereby a confidence interval. 
 
@@ -2562,7 +2562,7 @@ This means the variance we obtain with the standard OLS will always for $\lambda
 !split
 ===== Resampling methods =====
 
-Discuss types of error and how we proceed in doing so.
+Discuss types of error and how we proceed in doing so. In particular emphasize with examples the difference between the test error and the training error.
 
 
 !split