Y vector line per line regression on a X matrix

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!