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Y vector line per line regression on a X matrix

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I have dependent variable is return(1,129), and the independant variable is index(129,7). So I am trying to do an optimization with the coefficients staying positive and summing to 1. That's why I am using the lsqlin solver. However I want to have a matrix of coefficient with size(129,7). what king loop can write to have a line per line regression. here is the code for my optimization
G= lsqlin(index,return,[],[],ones(1,7),1,zeros(1,7),ones(1,7)) Any help would be greatly appreciated!

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