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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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Papers overview

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Review
2017
Review
2017
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
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
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
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
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
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 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 (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
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 use of partial least squares (PLS) for handling collinearities among the independent variables X in multiple regression is… Expand
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