Optimal Correlation Preserving Linear Predictors of Factor Scores in Factor Analysis

This paper studies a prediction problem of factor scores with correlationpreserving linear predictors. We deal with three new risk functions that are obtained by modifying some typical risk functions in the literature, and derive optimal correlation-preserving linear predictors with respect to them. A necessary and sufficient condition for an identical equality among the predictors to hold is also derived.