Linear Regression without computing pseudo-inverse matrix

Published 6 Nov 2013 in math.ST, stat.CO, and stat.TH | (1311.1835v1)

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.

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Authors (1)

Demetris T. Christopoulos

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