This is the authors' abstract. We don't add key points for this paper.
In this paper we discuss the partial least squares (PLS) prediction method. The method is compared to the predictor based on principal component regression (PCR). Both theoretical considerations and computations on artificial and real data are presented.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
Næs et al. (1985) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: