The Multiple Facets of Partial Least Squares and Related Methods

PLS, Paris, France, 2014

  • Hervé Abdi
  • Vincenzo Esposito Vinzi
  • Giorgio Russolillo
  • Gilbert Saporta
  • Laura Trinchera
Conference proceedings PLS 2014

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 173)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Keynotes

  3. New Developments in Genomics and Brain Imaging

    1. Front Matter
      Pages 71-71
    2. Derek Beaton, Michael Kriegsman, ADNI, Joseph Dunlop, Francesca M. Filbey, Hervé Abdi
      Pages 73-91
    3. Nathan Churchill, Babak Afshin-Pour, Stephen Strother
      Pages 93-102
    4. Gisela Lechuga, Laurent Le Brusquet, Vincent Perlbarg, Louis Puybasset, Damien Galanaud, Arthur Tenenhaus
      Pages 115-126
  4. New and Alternative Methods for Multitable and Path Analysis

    1. Front Matter
      Pages 127-127
    2. Tommy Löfstedt, Fouad Hadj-Selem, Vincent Guillemot, Cathy Philippe, Edouard Duchesnay, Vincent Frouin et al.
      Pages 129-139
    3. Xavier Bry, Catherine Trottier, Fréderic Mortier, Guillaume Cornu, Thomas Verron
      Pages 141-154
    4. Rosaria Romano, Francesco Palumbo
      Pages 155-168
    5. Cristina Davino, Vincenzo Esposito Vinzi, Pasquale Dolce
      Pages 169-185
  5. Advances in Partial Least Square Regression

    1. Front Matter
      Pages 187-187
    2. Aida Eslami, El Mostafa Qannari, Stéphane Legleye, Stéphanie Bougeard
      Pages 213-226
    3. Mélanie Blazère, Fabrice Gamboa, Jean-Michel Loubes
      Pages 227-237
    4. Jérémy Magnanensi, Myriam Maumy-Bertrand, Nicolas Meyer, Frédéric Bertrand
      Pages 239-250
  6. PLS Path Modeling: Breaktroughs and Applications

  7. Back Matter
    Pages 307-316

About these proceedings


This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods. The text begins with the invited communications of current leaders in the field who cover the history of PLS, an overview of methodological issues, and recent advances in regression and multi-block approaches. The rest of the volume comprises selected, reviewed contributions from the 8th International Conference on Partial Least Squares and Related Methods held in Paris, France, on 26-28 May, 2014. They are organized in four coherent sections: 1) new developments in genomics and brain imaging, 2) new and alternative methods for multi-table and path analysis, 3) advances in partial least square regression (PLSR), and 4) partial least square path modeling (PLS-PM) breakthroughs and applications. PLS methods are very versatile methods that are now used in areas as diverse as engineering, life science, sociology, psychology, brain imaging, genomics, and business among both academics and practitioners. The selected chapters here highlight this diversity with applied examples as well as the most recent advances.

  • Integrates theoretical and methodological advances from recognized leaders in the field, including the conference's invited speakers 
  • Important applications in domains such as genomics, brain imaging, sensory analysis, marketing, psychometrics and information systems 
  • Covers PLS regression, PLS path modeling and developments that go beyond PLS specific methods, extending to other component-based and multi-block or multi-way methods 


Component Analysis Multi-block data analysis Partial Least Squares Regression Regularization Structural Equation Modeling

Editors and affiliations

  • Hervé Abdi
    • 1
  • Vincenzo Esposito Vinzi
    • 2
  • Giorgio Russolillo
    • 3
  • Gilbert Saporta
    • 4
  • Laura Trinchera
    • 5
  1. 1.School of Behavioral and Brain SciencesThe University of Texas at DallasRichardsonUSA
  2. 2.ESSEC Business SchoolCergy Pontoise CXFrance
  3. 3.CNAMParisUSA
  4. 4.CNAMParis Cedex 03France
  5. 5.NEOMA Business SchoolRouenFrance

Bibliographic information

Industry Sectors
Materials & Steel
Health & Hospitals
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences