title: Canonical Analysis And Predictor Selection.
abstract: This paper addresses theoretical and practical issues in the use of canonical analysis for prediction. A major objection to canonical prediction has been that the variates that are predicted are of low utility and do not reflect practical concerns. This problem may be overcome by a stepwise approach to the selection of predictor variables such that those predictors which predict the desired criterion are retained. In addition, canonical analysis may provide a solution to the problem of multidimensional criteria.
authors.forename: R M
authors.initials: RM
authors.lastname: Thorndike