The Multiple Facets of Partial Least Squares and Related Methods

Chapter 1 Partial Least Squares for Heterogeneous Data

Chapter 2 On the PLS Algorithm for Multiple Regression (PLS1)

Chapter 3 Extending the Finite Iterative Method for Computing the Covariance Matrix Implied by a Recursive Path Model

Chapter 4 Which Resampling-Based Error Estimator for Benchmark Studies? A Power Analysis with Application to PLS-LDA

Chapter 5 Path Directions Incoherence in PLS Path Modeling: A Prediction-Oriented Solution

Chapter 6 Imaging Genetics with Partial Least Squares for Mixed-Data Types (MiMoPLS)

Chapter 7 PLS and Functional Neuroimaging: Bias and Detection Power Across Different Resampling Schemes

Chapter 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

Chapter 9 Discriminant Analysis for Multiway Data

Chapter 10 Structured Variable Selection for Regularized Generalized Canonical Correlation Analysis

Chapter 11 Supervised Component Generalized Linear Regression with Multiple Explanatory Blocks: THEME-SCGLR

Chapter 12 Partial Possibilistic Regression Path Modeling

Chapter 13 Assessment and Validation in Quantile Composite-Based Path Modeling

Chapter 14 PLS-Frailty Model for Cancer Survival Analysis Based on Gene Expression Profiles

Chapter 15 Functional Linear Regression Analysis Based on Partial Least Squares and Its Application

Chapter 16 Multiblock and Multigroup PLS: Application to Study Cannabis Consumption in Thirteen European Countries

Chapter 17 A Unified Framework to Study the Properties of the PLS Vector of Regression Coefficients

Chapter 18 A New Bootstrap-Based Stopping Criterion in PLS Components Construction

Chapter 19 Extension to the PATHMOX Approach to Detect Which Constructs Differentiate Segments and to Test Factor Invariance: Application to Mental Health Data

Chapter 20 Multi-group Invariance Testing: An Illustrative Comparison of PLS Permutation and Covariance-Based SEM Invariance Analysis

Chapter 21 Brand Nostalgia and Consumers’ Relationships to Luxury Brands: A Continuous and Categorical Moderated Mediation Approach

Chapter 22 A Partial Least Squares Algorithm Handling Ordinal Variables