diff --git a/usedMcode/readAll.m b/usedMcode/readAll.m
index 4e1533c..d732d04 100644
--- a/usedMcode/readAll.m
+++ b/usedMcode/readAll.m
@@ -51,6 +51,7 @@
 
         clear classificationWithPause
 
+        %adjust to length of EEG data
         smoothClassificationEEG=zeros([size(trainingDataEEG,1),1]);
         for i=1:size(smoothClassificationEEG,1)
             smoothClassificationEEG(i)=mode(smoothClassificationEMG(fix(...
diff --git a/usedMcode/ridgeCVvia.m b/usedMcode/ridgeCVvia.m
index b2b31d6..4e766c1 100644
--- a/usedMcode/ridgeCVvia.m
+++ b/usedMcode/ridgeCVvia.m
@@ -48,6 +48,7 @@
     end
     
     %make sure data are of same size
+    disp([size(trainingData),size(viaData),size(predicted)])
     minSize=min([size(trainingData,1),size(viaData,1),size(predicted,1)]);
     if minSize+5<max([size(trainingData,1),size(viaData,1),size(predicted,1)])
 	error('data dimensions not matching');
@@ -61,14 +62,13 @@
     while minSize<size(predicted,1)
         predicted=predicted(2:end,:);
     end
-
+    disp([size(trainingData),size(viaData),size(predicted)])
     
     viaCorr=zeros([k,size(viaData,2)]);
     finalCorr=zeros([k,size(predicted,2)]);
     
     randMap=randperm(size(trainingData,1));
     for i=1:k
-%	disp([i,size(trainingData),size(viaData),size(predicted)])
         leaveData=trainingData(mod(randMap,k)==i-1,:);
         leaveVia=viaData(mod(randMap,k)==i-1,:);
         leavePred=predicted(mod(randMap,k)==i-1,:);