New properties of latent root regression are shown aiding insight into the determination of a prediction model. Moreover, a procedure for the determination of a prediction model is discussed. It has similarities to partial least squares and di,er from the latter method only in the way components used as predictors are formed. This procedure is extended to the case where the problem at hand conc...
