Linear Regression without computing pseudo-inverse matrix

Abstract

We are presenting a method of linear regression based on Gram-Schmidt orthogonal projection that does not compute a pseudo-inverse matrix. This is useful when we want to make several regressions with random data vectors for simulation purposes.

arXiv comment4 pages