(not to be confused with PLS regression) on the other. Although both methods emerged roughly at the same time, their … regression routine for estimating weights (Mode PLS) and path coefficients (PLS regression instead of OLS regression). PLS …-redundancy • CV-redundancy • CV-communality • CV-communality Special features PLS regression for weights and path coefficients; confi …

), respectively3. The idea behind PLS is that it seeks for components of X which are also relevant for Y. PLS regression aims at … assumed that the flt of Y, given the PLS regression model, is ^Y = KBC; (8) where the regression weights are collected in the … k£h. These two equations underlie the PLS regression model, which in the present application is called a Partial Least …