diff --git a/usedMcode/callAll.m b/usedMcode/callAll.m
index 0fa3aae..ba53275 100644
--- a/usedMcode/callAll.m
+++ b/usedMcode/callAll.m
@@ -130,9 +130,9 @@
     number=numbersMat(j);
     subject=subjectsForNumbers{j};
     savePath=readAll(pathToFile,subject,number,windowEMG,windowEEG,shiftEMG,shiftEEG,maxFile,threshold,pburgOrder,minEEGFreq,maxEEGFreq,pause,noLFsamples,EMGChannels,noSynergies);
-%     [meanAccuracysEMG,maxCEMG,cmScaledEMG(:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass,eegOffset);
-%     [meanAccuracysEEG,maxCEEG,cmScaledEEG(:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass,eegOffset);
-%     [meanAccuracysLF,maxCLF,cmScaledLF(:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass,eegOffset);
+%     [meanAccuracysEMG,maxCEMG,cmScaledEMG(:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass,eegOffset,false);
+%     [meanAccuracysEEG,maxCEEG,cmScaledEEG(:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass,eegOffset,false);
+%     [meanAccuracysLF,maxCLF,cmScaledLF(:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass,eegOffset,false);
 %     [correlationEMGkin,maxRidgeParamIndexEMGkin(:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,eegOffset);
 %     [correlationEEGkin,maxRidgeParamIndexEEGkin(:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,eegOffset);
 %     [correlationLFkin,maxRidgeParamIndexLFkin(:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,eegOffset);
diff --git a/usedMcode/callAllPos.m b/usedMcode/callAllPos.m
index a75d7c9..a6a2aa0 100644
--- a/usedMcode/callAllPos.m
+++ b/usedMcode/callAllPos.m
@@ -1,7 +1,7 @@
 addpath('/home/hohlochj/masterarbeit/usedMcode')
 pathToFile='/nfs/wsi/ti/messor/hohlochj/origData/';
 %pathToFile='/home/jph/Uni/masterarbeit/origData/';
-maxFile=5;
+maxFile=1;
 threshold=10000; %EMG is classified as movement
 EMGChannels={'AbdPolLo','Biceps','Triceps','FrontDelt','MidDelt','BackDelt'};
 noSynergies=2;
@@ -19,7 +19,7 @@
 pause=false;
 noLFsamples=5;
 ridgeParams=100;
-k=10;
+k=1;
 maxExpC=0;
 maxPerClass=250;
 poolObj=parpool(32);
@@ -79,7 +79,7 @@
     number=numbersMat(j);
     subject=subjectsForNumbers{j};
     savePath=readAllPos(pathToFile, subject,number,windowEMG,windowEEG,shiftEMG,shiftEEG,maxFile,...
-                            threshold,pburgOrder,minEEGFreq,maxEEGFreq,pause,noLFsamples,EMGChannels);
+                            threshold,pburgOrder,minEEGFreq,maxEEGFreq,pause,noLFsamples,EMGChannels,noSynergies);
     [correlationEMGpos,maxRidgeParamIndex(:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,eegOffset);
     [correlationEEGpos,maxRidgeParamIndex(:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,eegOffset);
     [correlationLFpos,maxRidgeParamIndex(:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,eegOffset);