A Model and Simple Iterative Algorithm For Redundancy Analysis.

Abstract

Stewart and Love proposed redundancy as an index for measuring the amount of shared variance between two sets of variables. van den Wollenberg presented a method for maximizing redundancy. Johansson extended the approach to include derivation of optimal Y-variates, given the X-variates. This paper shows that redundancy maximization with Johansson's extension can be accomplished via a simple iterative algorithm based on Wold's Partial Least Squares.

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