Conjoint use of variables clustering and PLS structural equations modelling

Valentina Stan and Gilbert Saporta ()
Additional contact information
Valentina Stan: CEDRIC - Centre d'études et de recherche en informatique et communications - ENSIIE - Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise - CNAM - Conservatoire National des Arts et Métiers [CNAM]
Gilbert Saporta: CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage - CEDRIC - Centre d'études et de recherche en informatique et communications - ENSIIE - Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise - CNAM - Conservatoire National des Arts et Métiers [CNAM]

Post-Print from HAL

Abstract: In PLS approach, it is frequently assumed that the blocks of variables satisfy the assumption of unidimensionality. In order to fulfill at best this hypothesis, we use clustering methods of variables. We illustrate the conjoint use of variables clustering and PLS structural equations modelling on data provided by PSA Company (Peugeot Citroën) on customers' satisfaction. The data are satisfaction scores on 32 manifest variables given by 2922 customers.

Keywords: PLS approach; variables clustering; Approche PLS; variables de cluster (search for similar items in EconPapers)
Date: 2005-09-07
Note: View the original document on HAL open archive server: https://hal.science/hal-01125056
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Published in PLS'05 4th Int. Symp. on PLS and related methods, Sep 2005, Barcelona, Spain

Downloads: (external link)
https://hal.science/hal-01125056/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01125056

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().