Create vector for each column of a matrix and also construct the matrix but with that column removed
predicted = zeros(size(data));
for i = 1:size(data, 2)
    target = data(:, i);
    training_input = data;
    training_input(:, i) = [];
    // assuming the following function returns a column of 2500x1
    // given training_input of size 2500x49 and target 2500x1
    predicted(:, i) = pseudo_neural(training_input, target);
    out_colheaders{i} = ['Predicted_' colheaders{i}];
end