ABSTRACT
Partial least-squares regression (PLSR) is a multivariate data analytical technique designed to handle intercorrelated regressors. It is based on Herman Wold’s general PLS principle [1], in which complicated, multivariate systems analysis problems are solved by a sequence of simple least-squares regressions.
