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A Reformulation of the Partial Least Squares Regression Algorithm
SIAM Journal on Scientific Computing, 1994Let \(X = (x_ 1,\dots,x_ k)\), where \(x_ 1,\dots,x_ k\) are \(n\)- dimensional vectors (independent variables). Also available is an associated \(n\)-dimensional vector \(y\) (dependent variable). One of the main aims of linear regression is to predict the values of the dependent variable using a linear combination of the independent variables ...
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2015
Partial least squares (PLS) path modeling is a variance-based form of structural equation modeling. It is frequently applied in business and social sciences to analyze complex causal-predictive models involving latent variables. PLS path modeling makes only soft assumptions with respect to the data distribution, and is relatively robust in case of ...
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Partial least squares (PLS) path modeling is a variance-based form of structural equation modeling. It is frequently applied in business and social sciences to analyze complex causal-predictive models involving latent variables. PLS path modeling makes only soft assumptions with respect to the data distribution, and is relatively robust in case of ...
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Implementing partial least squares
Statistics and Computing, 1995Partial least squares (PLS) regression has been proposed as an alternative regression technique to more traditional approaches such as principal components regression and ridge regression. A number of algorithms have appeared in the literature which have been shown to be equivalent.
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Partial least squares structural equation modeling in HRM research
International Journal of Human Resource Management, 2020Christian M Ringle +2 more
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A Critical Examination of Common Beliefs About Partial Least Squares Path Modeling
Organizational Research Methods, 2013Mikko Ronkko, Joerg Evermann
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Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2010Hyonho Chun
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Reflections on Partial Least Squares Path Modeling
Organizational Research Methods, 2014Cameron N Mcintosh +2 more
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Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review
NeuroImage, 2011Anjali Krishnan +2 more
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