Convergence of the error in Hanafi-Wold's procedure on the PLS-PM task

Authors

  • Abderrahim Sahli Mathematics, Statistics, and Applications Laboratory, Faculty of sciences, Mohammed V University in Rabat, Morocco
  • Zouhair El Hadri Mathematics, Statistics, and Applications Laboratory, Faculty of sciences, Mohammed V University in Rabat, Morocco
  • Mohamed Hanafi Research unit in Statistics, Sensometrics and Chemometrics, Oniris VetAgroBio, Nantes, France

DOI:

https://doi.org/10.19139/soic-2310-5070-2223

Keywords:

Partial Least Squares Path Modelling, Hanafi-Wold’s procedure, SLM’s procedure, Lohmöller’s procedure

Abstract

Partial least squares path modeling is a statistical method that facilitates examining intricate dependence relationships among various blocks of observed variables, each characterized by a latent variable. The computation of latent variable scores is a pivotal step in this method and it is accomplished through an iterative procedure. Within this paper, we investigate and tackle convergence challenges related to Hanafi-Wold's procedure in computing components for the PLS-PM algorithm. Hanafi-Wold's procedure, as well as alternative procedure, demonstrate the property of monotone convergence when mode B is considered for all blocks combined with centroid or factorial schemes. However, the absence of proof regarding the convergence of the error towards zero in Hanafi-Wold's procedure is a limitation compared to alternative procedure, which possesses this convergence property. Therefore, this paper aims to establish the convergence of the error towards zero in Hanafi-Wold’s procedure.

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Published

2025-05-17

Issue

Section

Research Articles

How to Cite

Convergence of the error in Hanafi-Wold’s procedure on the PLS-PM task. (2025). Statistics, Optimization & Information Computing, 14(2), 469-485. https://doi.org/10.19139/soic-2310-5070-2223