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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