Calculate trends with regression for columns in MATLAB

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I have a matrix with dimensions of 19 rows and 7541502 columns. I want to get the trend of each column using regression. This is possible by using MATLAB function but requires a lot of time. The written function is as follows:
Data = box1;
[r, c] = size(Data);
X = [1:r]'; Total = nan(c,3);
for j = 1:c;
Y = Data(:, j);
[b1, bint1] = regress(Y, [ones(size(Y)) X]);
Qs = [bint1(2, :), b1(2, :)];
Total = [Total; Qs];
Is there a way to speed up Mfile in MATLAB? Is there a way to calculate regression without using functions?
Thanks in advance.

Accepted Answer

Abdolkarim Mohammadi
Abdolkarim Mohammadi on 3 Oct 2020
Edited: Abdolkarim Mohammadi on 3 Oct 2020
You can use parfor (parallel for loop) instead of for. The more CPU cores you have, the more speed you gain.

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