Partial least squares regression

Known as: Projection to latent structures, Partial Linear Squares, Partial least squares 
Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression; instead of… (More)
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Topic mentions per year

Topic mentions per year

1976-2017
020040060019762017

Papers overview

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2012
2012
4 We build connections between envelopes, a recently proposed context for efficient estima5 tion in multivariate statistics, and… (More)
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Highly Cited
2010
Highly Cited
2010
Voice conversion can be formulated as finding a mapping function which transforms the features of the source speaker to those of… (More)
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Highly Cited
2010
Highly Cited
2010
Partial least squares regression has been an alternative to ordinary least squares for handling multicollinearity in several… (More)
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Highly Cited
2008
Highly Cited
2008
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A… (More)
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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… (More)
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2005
2005
Recently, there has been an increased attention in the literature on the use of ensemble methods in multivariate regression and… (More)
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2003
2003
Partial Least Squares Regression (PLSR) is a linear regression technique developed to deal with high-dimensional regressors and… (More)
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2002
2002
Partial least squares (PLS) regression is a powerful and frequently applied technique in multivariate statistical process control… (More)
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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… (More)
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Highly Cited
1996
Highly Cited
1996
Partial least squares is a popular method for soft modelling in industrial applications. This paper introduces the basic concepts… (More)
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