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Table of Contents
1. Partial Last Squares for Heterogeneous Data
2. On the PLS Algorithm for Multiple Regression (PLS1)
3. Extending the Finite Iterative Method for Computing the Covariance Matrix Implied by a Recursive Path Model
4. Which Resampling-Based Error Estimator for Benchmark Studies? A Power Analysis with Application to PLS-LDA
5. Path Directions Incoherence in PLS Path Modeling: A Prediction-Oriented Solution
6. Imaging Genetics with Partial Least Squares for Mixed-Data Types (MiMoPLS)
7. PLS and Functional Neuroimaging: Bias and Detection Power Across Different Resampling Schemes
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
9. Discriminant Analysis for Multiway Data
10. Structured Variable Selection for Regularized Generalized Canonical Correlation Analysis
11. Supervised Component Generalized Linear Regression with Multiple Explanatory Blocks: THEME-SCGLR
12. Partial Possibilistic Regression Path Modeling
13. Assessment and Validation in Quantile Composite-Based Path Modeling
14. PLS-Frailty Model for Cancer Survival Analysis Based on Gene Expression Profiles
15. Functional Linear Regression Analysis Based on Partial Least Squares and Its Application
16. Multiblock and Multigroup PLS Application to Study Cannabis Consumption in Thirteen European Countries
17. A Unified Framework to Study the Properties of the PLS Vector of Regression Coefficients
18. A New Bootstrap-Based Stopping Criterion in PLS Components Construction
19. Extension to the PATHMOX Approach to Detect which Constructs Differentiate Segments and to Test Factor Invariance: Application to Mental Health Data
20. Multi-Group Invariance Testing: An Illustrative Comparison of PLS Permutation and Covariance-Based SEM Invariance Analysis
21. Brand Nostalgia and Consumers' Relationships to Luxury Brands: A Continuous and Categorical Moderated Mediation Approach
22. A Partial Least Squares Algorithm Handling Ordinal Variables. .
2. On the PLS Algorithm for Multiple Regression (PLS1)
3. Extending the Finite Iterative Method for Computing the Covariance Matrix Implied by a Recursive Path Model
4. Which Resampling-Based Error Estimator for Benchmark Studies? A Power Analysis with Application to PLS-LDA
5. Path Directions Incoherence in PLS Path Modeling: A Prediction-Oriented Solution
6. Imaging Genetics with Partial Least Squares for Mixed-Data Types (MiMoPLS)
7. PLS and Functional Neuroimaging: Bias and Detection Power Across Different Resampling Schemes
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
9. Discriminant Analysis for Multiway Data
10. Structured Variable Selection for Regularized Generalized Canonical Correlation Analysis
11. Supervised Component Generalized Linear Regression with Multiple Explanatory Blocks: THEME-SCGLR
12. Partial Possibilistic Regression Path Modeling
13. Assessment and Validation in Quantile Composite-Based Path Modeling
14. PLS-Frailty Model for Cancer Survival Analysis Based on Gene Expression Profiles
15. Functional Linear Regression Analysis Based on Partial Least Squares and Its Application
16. Multiblock and Multigroup PLS Application to Study Cannabis Consumption in Thirteen European Countries
17. A Unified Framework to Study the Properties of the PLS Vector of Regression Coefficients
18. A New Bootstrap-Based Stopping Criterion in PLS Components Construction
19. Extension to the PATHMOX Approach to Detect which Constructs Differentiate Segments and to Test Factor Invariance: Application to Mental Health Data
20. Multi-Group Invariance Testing: An Illustrative Comparison of PLS Permutation and Covariance-Based SEM Invariance Analysis
21. Brand Nostalgia and Consumers' Relationships to Luxury Brands: A Continuous and Categorical Moderated Mediation Approach
22. A Partial Least Squares Algorithm Handling Ordinal Variables. .