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Partial least squares regression

Known as: PLS, Projection to latent structures, Partial Linear Squares 
Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression; instead of… Expand
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Causal inferenceChemometricsData miningFeature extraction
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Broader (1)

Least squares

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Knowledge-based human resource management practices, intellectual capital and innovation
This paper proposes a conceptual model in which a human resource management (HRM) system of explicitly knowledge-based HRM… Expand
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Review
2017
Review
2017
Electrical impedance spectroscopy (EIS) for biological analysis and food characterization: a review
Abstract. Electrical impedance spectroscopy (EIS), in which a sinusoidal test voltage or current is applied to the sample under… Expand
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Review
2017
Review
2017
Advanced Issues in Partial Least Squares Structural Equation Modeling
Written as an extension of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)Second Edition, this easy-to… Expand
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Review
2017
Review
2017
User acceptance of smart home services: an extension of the theory of planned behavior
The purpose of this paper is to develop a comprehensive research model that can explain potential customers’ behavioral… Expand
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Review
2016
Review
2016
Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models
Purpose – Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least… Expand
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Review
2016
Review
2016
Using PLS path modeling in new technology research: updated guidelines
Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is… Expand
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Highly Cited
2007
Highly Cited
2007
The pls Package: Principal Component and Partial Least Squares Regression in R
The pls package implements principal component regression (PCR) and partial least squares regression (PLSR) in R (R Development… Expand
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Highly Cited
2003
Highly Cited
2003
Partial least squares for discrimination
Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied… Expand
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Highly Cited
2001
Highly Cited
2001
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space
A family of regularized least squares regression models in a Reproducing Kernel Hilbert Space is extended by the kernel partial… Expand
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Highly Cited
1984
Highly Cited
1984
The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
The use of partial least squares (PLS) for handling collinearities among the independent variables X in multiple regression is… Expand
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