diff --git a/oldMcode/compare.m b/oldMcode/compare.m
deleted file mode 100644
index 3383e9b..0000000
--- a/oldMcode/compare.m
+++ /dev/null
@@ -1,26 +0,0 @@
-maxSize=6;
-
-mseErrorAutoenc=zeros([maxSize,1]);
-for i=1:maxSize
-    ae=trainAutoencoder(trainingData,i,'ShowProgressWindow',false);
-    predicted=predict(ae,trainingData);
-    mseErrorAutoenc(i)=mse(trainingData-predicted);
-end
-
-fig=figure();
-subplot(1,3,1);
-plot(mseErrorAutoenc)
-
-%PCA
-[COEFF,SCORE,latent] = princomp(trainingData);
-subplot(1,3,2);
-plot(cumsum(latent)./sum(latent))
-
-%NNMF
-D=cell(maxSize,1);
-for i=1:maxSize
-    [W,H,D{i}]=nnmf(trainingData,i);
-end
-
-subplot(1,3,3);
-plot(diff(cell2mat(D)))
\ No newline at end of file
diff --git a/oldMcode/noOfSynergies.m b/oldMcode/noOfSynergies.m
new file mode 100644
index 0000000..6dea77d
--- /dev/null
+++ b/oldMcode/noOfSynergies.m
@@ -0,0 +1,42 @@
+maxSize=6;
+
+mseAutoenc=zeros([maxSize,1]);
+for i=1:maxSize
+    ae=trainAutoencoder(trainingData,i,'ShowProgressWindow',false);
+    predicted=predict(ae,trainingData);
+    mseAutoenc(i)=mse(trainingData-predicted);
+end
+
+fig=figure();
+subplot(1,3,1);
+plot(mseAutoenc)
+title('Autoencoder')
+xlabel('number of syergies')
+ylabel('mse')
+
+%PCA
+[COEFF,SCORE,latent] = pca(trainingData,'Centered',false);
+msePCA=zeros([maxSize,1]);
+for i=1:maxSize
+    predicted=SCORE(:,1:i)*COEFF(:,1:i)';
+    msePCA(i)=mse(trainingData-predicted);
+end
+subplot(1,3,2);
+plot(msePCA)
+title('PCA')
+xlabel('number of syergies')
+ylabel('mse')
+
+%NNMF
+mseNNMF=zeros([maxSize,1]);
+for i=1:maxSize
+    [W,H]=nnmf(trainingData,i);
+    predicted=W*H;
+    mseNNMF(i)=mse(trainingData-predicted);
+end
+
+subplot(1,3,3);
+plot(mseNNMF)
+title('NNMF')
+xlabel('number of syergies')
+ylabel('mse')
\ No newline at end of file