diff --git a/usedMcode/kFoldRidge.m b/usedMcode/kFoldRidge.m
index f0b00de..3811a46 100644
--- a/usedMcode/kFoldRidge.m
+++ b/usedMcode/kFoldRidge.m
@@ -1,4 +1,4 @@
-function [coeffs]=kFoldRidge(kin,data,k,ridgeParams)
+function [coeffs]=kFoldRidge(data,kin,k,ridgeParams)
     if any(size(ridgeParams)>1)
         
         correlationPerParam=zeros(size(ridgeParams));
@@ -9,22 +9,22 @@
             correlations=zeros(k,1);
 
             parfor i=1:k
-                trainData=data(mod(randomMapping,k)+1~=i,:,:);
-                testData=data(mod(randomMapping,k)+1==i,:,:);
+                trainData=data(mod(randomMapping,k)+1~=i,:);
+                testData=data(mod(randomMapping,k)+1==i,:);
                 trainKin=kin(mod(randomMapping,k)+1~=i);
                 testKin=kin(mod(randomMapping,k)+1==i);
                 
-                coeffs=ridge(trainData,trainKin,param,0);
-                correlations(i)=ridgeCorrelation(testKin,testData,coeffs);
+                coeffs=ridge(trainKin,trainData,param,0);
+                correlations(i)=ridgeCorrelation(testData,testKin,coeffs);
             end
 
            correlationPerParam(ridgeParams==param)=mean(correlations);
         end
         [~,maxRidgeParamIndex]=max(correlationPerParam);
-        coeffs=ridge(data,kin,ridgeParams(maxRidgeParamIndex),0);
+        coeffs=ridge(kin,data,ridgeParams(maxRidgeParamIndex),0);
         
         
     else
-        coeffs=ridge(data,kin,ridgeParams(1),0);
+        coeffs=ridge(kin,data,ridgeParams(1),0);
     end
 end
\ No newline at end of file
diff --git a/usedMcode/ridgeCV.m b/usedMcode/ridgeCV.m
index ff0ea91..ee1fc2a 100644
--- a/usedMcode/ridgeCV.m
+++ b/usedMcode/ridgeCV.m
@@ -9,21 +9,25 @@
     clear trainingDataEEG;
     clear trainingDataEMG;
     
-    randMap=randperm(size(trainingData,1));
-    kin=kinematics;
-    correlations=zeros([k,1]);
+    correlation=zeros(size(kinematics,2),1);
     
-    parfor i=1:k
-        leaveOut=trainingData(mod(randMap,k)==i-1,:,:);
-        leaveKin=kin(mod(randMap,k)==i-1,:);
-        remaining=trainingData(mod(randMap,k)~=i-1,:,:);
-        remainingKin=kin(mod(randMap,k)~=i-1,:);
-        %fprintf('%s create %ith model\n',datestr(datetime('now')),i)
-        
-        [coeffs]=kFoldRidge(remainingKin,remaining,k,ridgeParams);
-        
-        correlations(i)=ridgeCorrelation(leaveKin,leaveOut,coeffs);
+    for j=1:size(kinematics,2)
+        randMap=randperm(size(trainingData,1));
+        kin=kinematics(:,j);
+        correlations=zeros([k,1]);
+
+        parfor i=1:k
+            leaveData=trainingData(mod(randMap,k)==i-1,:);
+            leaveKin=kin(mod(randMap,k)==i-1);
+            remainingData=trainingData(mod(randMap,k)~=i-1,:);
+            remainingKin=kin(mod(randMap,k)~=i-1);
+            %fprintf('%s create %ith model\n',datestr(datetime('now')),i)
+
+            [coeffs]=kFoldRidge(remainingData,remainingKin,k,ridgeParams);
+
+            correlations(i)=ridgeCorrelation(leaveData,leaveKin,coeffs);
+        end
+
+        correlation(j)=mean(correlations);
     end
-    
-    correlation=mean(correlations);
 end
\ No newline at end of file
diff --git a/usedMcode/ridgeCorrelation.m b/usedMcode/ridgeCorrelation.m
index 5834a7e..8929a02 100644
--- a/usedMcode/ridgeCorrelation.m
+++ b/usedMcode/ridgeCorrelation.m
@@ -1,4 +1,4 @@
-function [correlation]=ridgeCorrelation(kin,data,coeffs)
+function [correlation]=ridgeCorrelation(data,kin,coeffs)
     prediction=coeffs(1)+data*coeffs(2:end);
     
     correlation=corr(kin,prediction);