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Selection of Structural Equation Models with the PLS-VB Programme

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New Developments in Classification and Data Analysis

Abstract

Parameter and latent score estimates of structural equation models with latent variables may be obtained by the use of the PLS (Partial Least Squares) algorithm. The program PLS-VB, developed in Visual Basic Application as an Excel add-in for this purpose, is presented. Its use for the selection among competing models is also considered.

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References

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Author information

Authors and Affiliations

  1. Istituto di Statistica, Università Cattolica del S. Cuore di Milano, Italy

    Giuseppe Boari & Gabriele Cantaluppi

Authors
  1. Giuseppe Boari
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  2. Gabriele Cantaluppi
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Editor information

Editors and Affiliations

  1. Aachen

    H.-H. Bock

  2. Karlsruhe

    W. Gaul

  3. Rome

    M. Vichi

  4. Newark

    Ph. Arabie

  5. Cottbus

    D. Baier

  6. Milton Keynes

    F. Critchley

  7. Bielefeld

    R. Decker

  8. Paris

    E. Diday

  9. Barcelona

    M. Greenacre

  10. Naples

    C. Lauro

  11. Leiden

    J. Meulman

  12. Bologna

    P. Monari

  13. Toronto

    S. Nishisato

  14. Tokyo

    N. Ohsumi

  15. Augsburg

    O. Opitz

  16. Passau

    G. Ritter

  17. Mannheim

    M. Schader

  18. Dortmund

    C. Weihs

  19. Department of Statistics, Probability and Applied Statistics, University of Rome “La Sapienza”, Piazzale Aldo Moro 5, 00185, Rome, Italy

    Maurizio Vichi

  20. Department of Statistical Sciences, University of Bologna, Via Belle Arti 41, 40126, Bologna, Italy

    Paola Monari , Stefania Mignani  & Angela Montanari ,  & 

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© 2005 Springer-Verlag Berlin · Heidelberg

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Boari, G., Cantaluppi, G. (2005). Selection of Structural Equation Models with the PLS-VB Programme. In: Bock, HH., et al. New Developments in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27373-5_13

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