You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository was archived by the owner on Mar 8, 2023. It is now read-only.
Description: Calculates a partial least squares regression of Y on X using PLS components of X by SIMPLS algorithm and outputs an array with scores, and loadings for each PLS component and the PLS coefficients vector. This function uses nfold cross-validation to avoid overfitting, and the user will be asked to select the optimal number of PLS components to avoid over- and under-fitting the data. This function can perform PLS regression or PLS discriminant analysis.