Segmentation of Partial Least Square Structural Equation Modeling Using Kernel K-Means Clustering (PLS SEM KKC) is the development of a new method in PLS SEM segmentation that uses non-linear clustering methods.

This package is an extension of the ResiPLS package, which develops SEMPLS analysis with segmentation using Kernel K-Means.