issue with lsqlin versus regress
2 views (last 30 days)
Show older comments
Hello, I am bit confused why lsqlin and regress yield different results. Here is a worked example. The lsqlin does not solve at all maybe I am missing something in the specification
load carsmall
x1 = Weight;
x2 = Horsepower; % Contains NaN data
y = MPG;
X = [ones(size(x1)) x1 x2 x1.*x2];
b = regress(y,X) % Removes NaN data
x0 = 0.1*ones(size(X,2),1);
options = optimoptions('lsqlin','Algorithm','active-set');
xx = lsqlin(X,y,[],[],[],[],[],[], x0, options)
b =
60.7104
-0.0102
-0.1882
0.0000
xx =
0
0
0
0
4 Comments
Answers (0)
See Also
Categories
Find more on Linear Least Squares in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!