Retained-Components Factor Transformation: Factor Loadings and Factor Score Predictors in the Column Space of Retained Components

Authors

André Beauducel, University of Bonn, Bonn, GermanyFollow
Frank Spohn, University of Hamburg, Hamburg, GermanyFollow

Abstract

Factor loadings optimally account for the non-diagonal elements of the covariance matrix of observed variables. Principal component analysis leads to components accounting for a maximum of the variance of the observed variables. Retained-components factor transformation is proposed in order to combine the advantages of factor analysis and principal component analysis.

DOI

10.22237/jmasm/1414814700