ON THE STRUCTURE OF PARTIAL LEAST SQUARES REGRESSION
Explore this paper's citation graph
- Type
- article
- Published
- 1988-01-01
- Cited by
- 576
- References
- 32
- OpenAlex
- https://openalex.org/W2160333357
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:102493654
Keywords
Partial least squares regression, Mathematics, Total least squares, Principal component regression, Regression analysis
References
- Regression, Prediction and Shrinkage
- Systems under indirect observation : causality, structure, prediction
- Analysis of two partial-least-squares algorithms for multivariate calibration
- A Critique of Some Ridge Regression Methods
- Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models
- Comparison of prediction methods for multicollinear data
- Classical and Inverse Regression Methods of Calibration
- Multivariate Calibration When the Error Covariance Matrix Is Structured
- Some Considerations in the Evaluation of Alternate Prediction Equations
- Selecting principal components in regression
- A theoretical foundation for the PLS algorithm
- When is the inverse regression estimator MSE-superior to the standard regression estimator in multivariate controlled calibration situations?
- Cross‐Validatory Choice and Assessment of Statistical Predictions
- Multivariate Calibration With More Variables Than Observations
- Partial least-squares regression: a tutorial
- The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
- A Misuse of Ridge Regression in the Calibration of a Near Infrared Reflectance Instrument
- ANOVA Interactions Interpreted by Partial Least Squares Regression
- Comparison of Linear Statistical Methods for Calibration of Nir Instruments
- A Note on the Use of Principal Components in Regression
Cited by
- A Comparison Study of Principle Component Regression, Partial Least Square Regression and Ridge Regression with Application to FTIR Data
- Réduction de dimension dans les modèles linéaires généralisés : Application à la classification supervisée de données issues des biopuces
- Penalized Discriminant Methods for the Classification of Tumors from Gene Expression Data
- Spatially Aggregated Multi-Class Pattern Classification in Functional MRI using Optimally Selected Functional Brain Areas
- Decomposition, nutrient cycling and climate change in Australian tropical rainforests
- Nonparametric Methods for Classification and Related Feature Selection Procedures
- Regression with Signals and Images as Predictors
- Market-based capabilities, perceived quality and firm performance
- Construction Concepts for Continuum Regression
- Model Selection Techniques for Kernel-Based Regression Analysis Using Information Complexity Measure and Genetic Algorithms
- A Two Step Model for Linear Prediction, with Connections to PLS
- Chimiométrie appliquée à la spectroscopie de plasma induit par laser (LIBS) et à la spectroscopie terahertz
- PLS regression : a directional signal-noise approach
- Systems Theory for Pharmaceutical Drug Discovery
- A Two Step Model for Linear Prediction with Group Effect
- Combined Estimators as alternative to Ordinary Least Square Estimator
- Advanced Multivariate Statistics with Matrices
- Analysis of Multivariate and High-Dimensional Data: Notation
- Multivariate statistical process control of chemical processes
- L'évaluation du risque et de la performance des Hedge Funds
Related papers
- Regression Analysis for Social Sciences
- Handbook of Regression and Modeling: Applications for the Clinical and Pharmaceutical Industries
- Comparison of Robust Regression Methods in Linear Regression
- Applying regression & correlation : a guide for students and researchers
- On study for change point regression problems using a difference-based regression model
- Geometric Error Analysis for Orthogonal Regression and Ordinary Least Squares Regression