The Multiple Facets of Partial Least Squares and Related Methods

Part I. Keynotes

1. Partial Least Squares for Heterogeneous Data
Peter Bühlmann

2. On the PLS Algorithm for Multiple Regression (PLS1)
Yoshio Takane, Sébastien Loisel

3. Extending the Finite Iterative Method for Computing the Covariance Matrix Implied by a Recursive Path Model
Zouhair El Hadri, Mohamed Hanafi

4. Which Resampling-Based Error Estimator for Benchmark Studies? A Power Analysis with Application to PLS-LDA
Anne-Laure Boulesteix

5. Path Directions Incoherence in PLS Path Modeling: A Prediction-Oriented Solution
Pasquale Dolce, Vincenzo Esposito Vinzi, Carlo Lauro

Part II. New Developments in Genomics and Brain Imaging

6. Imaging Genetics with Partial Least Squares for Mixed-Data Types (MiMoPLS)
Derek Beaton, Michael Kriegsman, Joseph Dunlop, Francesca M. Filbey, Hervé Abdi

7. PLS and Functional Neuroimaging: Bias and Detection Power Across Different Resampling Schemes
Nathan Churchill, Babak Afshin-Pour, Stephen Strother

8. Estimating and Correcting Optimism Bias in Multivariate PLS Regression: Application to the Study of the Association Between Single Nucleotide Polymorphisms and Multivariate Traits in Attention Deficit Hyperactivity Disorder
Erica Cunningham, Antonio Ciampi, Ridha Joober, Aurélie Labbe

9. Discriminant Analysis for Multiway Data
Gisela Lechuga, Laurent Le Brusquet, Vincent Perlbarg, Louis Puybasset, Damien Galanaud, Arthur Tenenhaus

Part III. New and Alternative Methods for Multitable and Path Analysis

10. Structured Variable Selection for Regularized Generalized Canonical Correlation Analysis
Tommy Löfstedt, Fouad Hadj-Selem, Vincent Guillemot, Cathy Philippe, Edouard Duchesnay, Vincent Frouin, Arthur Tenenhaus

11. Supervised Component Generalized Linear Regression with Multiple Explanatory Blocks: THEME-SCGLR
Xavier Bry, Catherine Trottier, Fréderic Mortier, Guillaume Cornu, Thomas Verron

12. Partial Possibilistic Regression Path Modeling
Rosaria Romano, Francesco Palumbo

13. Assessment and Validation in Quantile Composite-Based Path Modeling
Cristina Davino, Vincenzo Esposito Vinzi, Pasquale Dolce

Part IV. Advances in Partial Least Square Regression

14. PLS-Frailty Model for Cancer Survival Analysis Based on Gene Expression Profiles
Yi Zhou, Yanan Zhu, Siu-wai Leung

15. Functional Linear Regression Analysis Based on Partial Least Squares and Its Application
Huiwen Wang, Lele Huang

16. Multiblock and Multigroup PLS: Application to Study Cannabis Consumption in Thirteen European Countries
Aida Eslami, El Mostafa Qannari, Stéphane Legleye, Stéphanie Bougeard

17. A Unified Framework to Study the Properties of the PLS Vector of Regression Coefficients
Mélanie Blazère, Fabrice Gamboa, Jean-Michel Loubes

18. A New Bootstrap-Based Stopping Criterion in PLS Components Construction
Jérémy Magnanensi, Myriam Maumy-Bertrand, Nicolas Meyer, Frédéric Bertrand

Part V. PLS Path Modeling: Breaktroughs and Applications

19. Extension to the PATHMOX Approach to Detect Which Constructs Differentiate Segments and to Test Factor Invariance: Application to Mental Health Data
Tomas Aluja-Banet, Giuseppe Lamberti, Antonio Ciampi

20. Multi-group Invariance Testing: An Illustrative Comparison of PLS Permutation and Covariance-Based SEM Invariance Analysis
Wynne W. Chin, Annette M. Mills, Douglas J. Steel, Andrew Schwarz

21. Brand Nostalgia and Consumers’ Relationships to Luxury Brands: A Continuous and Categorical Moderated Mediation Approach
Aurélie Kessous, Fanny Magnoni, Pierre Valette-Florence

22. A Partial Least Squares Algorithm Handling Ordinal Variables
Gabriele Cantaluppi, Giuseppe Boari

Keywords: Statistics, Statistical Theory and Methods, Mathematical Models of Cognitive Processes and Neural Networks, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences