On Some Aspects of Variable Selection for Partial Least Squares Regression Models

Abstract This paper tries to explore the optimum variable selection strategy for Partial Least Squares (PLS) regression using a model dataset of cytoprotection data. The compounds of the dataset were classified using K‐means clustering technique applied on standardized descriptor matrix and ten comb... View More