diff --git a/diploma.pdf b/diploma.pdf
index 48538ce..11abc07 100644
Binary files a/diploma.pdf and b/diploma.pdf differ
diff --git a/example.py b/example.py
index 2f4660c..f5c1ab1 100644
--- a/example.py
+++ b/example.py
@@ -26,12 +26,11 @@
     np.array(class_data)[good_lines,55]
 )
 
-lin = Orange.regression.linear.LinearRegressionLearner()
 rf = Orange.regression.random_forest.RandomForestRegressionLearner()
 ridge = Orange.regression.RidgeRegressionLearner()
 mean = Orange.regression.MeanLearner()
 
-learners = [lin, rf, ridge, mean]
+learners = [rf, ridge, mean]
 
 res = Orange.evaluation.CrossValidation(data, learners, k=10)
 rmse = Orange.evaluation.RMSE(res)
diff --git a/usage.tex b/usage.tex
index 6067875..462be8a 100644
--- a/usage.tex
+++ b/usage.tex
@@ -14,9 +14,9 @@ \subsection{Primer uporabe modula api\_wrapper}
 razredom ki ga "zelimo napovedovati. Vrednosti, ki jih "zelimo napovedovati se
 nahajajo v stolpcu $55$ v tabeli \verb|class_data|. Ta vrstica vsebuje podatke
 o smrtnosti otrok mlaj"sih od enega leta, za leto 2015. V naslednjih vrsticah
-pa zgradimo "stiri napovedne modele: linearna regresija, naklju"cni gozd z
-regresijskimi drevesi, ridge regresija in srednja vrednost. Za ocene napovednih
-modelov smo uporabili
+pa zgradimo "stiri napovedne modele: naklju"cni gozd z
+regresijskimi drevesi, linearna regresija z regularizacijo in srednja vrednost.
+Za ocene napovednih modelov smo uporabili oceni
 $RMSE$ \fnurl{https://en.wikipedia.org/wiki/Root-mean-square_deviation} in 
 $R^2$ \fnurl{https://en.wikipedia.org/wiki/Coefficient_of_determination}.