A METHOD OF VARIABLE SELECTION IN FACTOR ANALYSIS AND ITS NUMERICAL INVESTIGATION

Abstract

A new variable sclection method is introduced in factor analysis from the viewpoint to preserve the configuration of factor scores in p (=the number of factors) dimensional Euclidean space. Its performance is studied numerically in comparison with four conventional methods and it is shown that the proposed method is superior to the other four methods.