diff --git a/usedMcode/callAll.m b/usedMcode/callAll.m
index 627351a..a7176ec 100644
--- a/usedMcode/callAll.m
+++ b/usedMcode/callAll.m
@@ -33,17 +33,19 @@
 end
 j=j-1;
 
-meanAccurancysEMG=zeros([j,1]);
-meanAccurancysEEG=zeros([j,1]);
-maxCEMG=zeros([j,k,1]);
-maxCEEG=zeros([j,k,1]);
-cmScaledEMG=zeros([j,5,5]);
-cmScaledEEG=zeros([j,5,5]);
-maxRidgeParamIndex=zeros([j,3,k]);
-correlationEMG=zeros([j,3]); %x,y,angle
-correlationEEG=zeros([j,3]);
 
 if allSubjects
+    
+    meanAccurancysEMG=zeros([j,1]);
+    meanAccurancysEEG=zeros([j,1]);
+    maxCEMG=zeros([j,k,1]);
+    maxCEEG=zeros([j,k,1]);
+    cmScaledEMG=zeros([j,5,5]);
+    cmScaledEEG=zeros([j,5,5]);
+    maxRidgeParamIndex=zeros([j,3,k]);
+    correlationEMG=zeros([j,3]); %x,y,angle
+    correlationEEG=zeros([j,3]);
+
     parfor j=1:size(numbersMat,2)
         number=numbersMat(j);
         subject=subjectsForNumbers{j};
@@ -62,10 +64,10 @@
     number=numbersMat(j);
     subject=subjectsForNumbers{j};
     savePath=readEEG(pathToFile,subject,number,windowEMG,windowEEG,shift,maxFile,threshold,pburgOrder,minEEGFreq,maxEEGFreq,pause);
-    [meanAccurancysEMG(j),maxCEMG(j,:),cmScaledEMG(j,:,:)]=svmEciton(savePath,~EEG,k,maxExpC,maxPerClass);
-    [meanAccurancysEEG(j),maxCEEG(j,:),cmScaledEEG(j,:,:)]=svmEciton(savePath,EEG,k,maxExpC,maxPerClass);
-    [correlationEMG(j,:)]=ridgeCV(savePath,false,k,ridgeParams);
-    [correlationEEG(j,:)]=ridgeCV(savePath,EEG,k,ridgeParams);
+    [meanAccurancysEMG,maxCEMG,cmScaledEMG(:,:)]=svmEciton(savePath,~EEG,k,maxExpC,maxPerClass);
+    [meanAccurancysEEG,maxCEEG,cmScaledEEG(:,:)]=svmEciton(savePath,EEG,k,maxExpC,maxPerClass);
+    [correlationEMG,maxRidgeParamIndex(:,:)]=ridgeCV(savePath,false,k,ridgeParams);
+    [correlationEEG,maxRidgeParamIndex(:,:)]=ridgeCV(savePath,EEG,k,ridgeParams);
     fprintf('%s%i finished %s\n',subject,number,datestr(datetime('now')))
     
     save(strcat(pathToFile,sprintf('../matlabData/%s_call%s%i.mat',datestr(datetime('now')),subject,number)));