How can I save all of the outputs in a loop

Below is my code (excluding loading the data). It runs about 1500 stepwise regressions using a for loop. I need to ad something to the code so the results of each stepwise regression will be saved as they loop through. Any help greatly appreciated I'm a newbie to matlab.

    %Sort the Data
    [rows, cols]=size(A03);

for i = 1:rows

    for j = 1:cols
        y=zeros(8,1)
        x=zeros(8,3)
        for m=1:8
            y(m)=NDVI((m-1)*rows+i,j)
            x(m,1)=PET((m-1)*rows+i,j)
            x(m,2)=P((m-1)*rows+i,j)
            x(m,3)=Amp((m-1)*rows+i,j)
        end
        %Run the stepwise Regression
        if  sum(sum(isnan(x)),2)==0 && sum(isnan(y))==0 
        xx=x(:,1:3); yy=y(:,1);
        [B,SE,PVAL,INMODEL,STATS,NEXTSTEP,HISTORY]=stepwisefit(xx,yy,'penter',.05);
        end
    end
end

Answer 1

[Guillaume]

The simplest way is to save your results in matrices:

B = zeros([size(A03), 3); %third dimension is the number of columns in xx
SE = zeros([size(A03), 3); 
PVAL = zeros([size(A03), 3);
INMODEL = logical(zeros([size(A03), 3));
STATS = struct('source', cell(size(A03))); %other fields automatically created on first iteration
NEXTSTEP = zeros(size(A03));
HISTORY = struct('B', cell(size(A03))); %other fields automatically created on first iteration

for row = %... %note don't use i and j as variables
%...
   [B(row, col, :), SE(row, col, :), PVAL(row, col, :), INMODEL(row, col, :), STATS(row, col), NEXTSTEP(row, col), HISTORY(row, col)] = stepwisefit(...);
%...

Do you actually need all the return values of stepwisefit?