Partial least squares (PLS) is a prominent solution for dimension reduction and high-dimensional regressions. Recent prevalence of multidimensional tensor data has led to several tensor versions of ...

All of the predictive methods implemented in PROC PLS work essentially by finding linear combinations of the predictors (factors) to use to predict the responses linearly. The methods differ only in ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 62, No. 3 (2000), pp. 585-593 (9 pages) Partial least squares regression has been widely adopted within some areas as ...