How to specify Multiple constraints for LSQLIN

I have X = 50 data points for 6 parameters, resulting in output vector Y of 50 data points. I have first constrained the problem so that the Y predicted values are > 0 by setting A = -X, b = 0*Y, and solved via BETA = lsqlin(X,Y,A,b) . I now want to specify multiple constraints so BETA(1)*X(1) + BETA(2)*X(2) is always > 0 , BETA(3)*X(3) + BETA(4)*X(4) > 0 , and BETA(5)*X(5) + BETA(6)*X(6) > 0 for all 50 predicted values. Can someone help me with this? Thanks.

Answer 1

[Matt J]

 tmp={X(:,1:2),X(:,3:4),X(:,5:6)};

 A=-[X;blkdiag(tmp{:})];
 b=zeros(size(A,1),1);

 lsqlin(X,Y,A,b)

[Doug Bell]

Very efficient, thanks!