Generalized properties for Hanafi–Wold’s procedure in partial least squares path modeling

Mohamed Hanafi (), Pasquale Dolce () and Zouhair El Hadri ()
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Mohamed Hanafi: Oniris
Pasquale Dolce: University of Naples Federico II
Zouhair El Hadri: Mohammed V University

Computational Statistics, 2021, vol. 36, issue 1, No 25, 603-614

Abstract: Abstract Partial least squares path modeling is a statistical method that allows to analyze complex dependence relationships among several blocks of observed variables, each one represented by a latent variable. The computation of latent variable scores is an essential step of the method, achieved through an iterative procedure named here Hanafi–Wold’s procedure. The present paper generalizes properties already known in the literature for this procedure, from which additional convergence results will be obtained.

Keywords: PLS path modeling; Iterative procedure; Convergence properties (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s00180-020-01015-w

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