GENERATING ARTIFICIAL DATA WITH PREASSIGNED DEGREE OF MULTICOLLINEARITY BY USING SINGULAR VALUE DECOMPOSITION

Abstract

A method is proposed for generating artificial data with preassigned degree of multicollinearity. The method is based on the singular value decomposition and the degree of multicollinearity is assigned with a set of singular values. Numerical examples are given to show the performance of the proposed method.