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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

1976-2017
020040060019762017

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18 relations
Causal inferenceChemometricsData miningFeature extraction
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Broader (1)

Least squares

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Partial least squares regression
Machine learning
Data mining
Feature extraction
Least squares
Principal component analysis

Papers overview

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2012
2012
Envelopes and partial least squares regression ∗
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 Using Partial Least Squares Regression
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
Sparse partial least squares regression for simultaneous dimension reduction and variable selection
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
Partial least squares regression for graph mining
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: 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… (More)
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2005
2005
Ensemble Methods and Partial Least Squares Regression
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
Robust Methods for Partial Least Squares Regression
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
Model selection for partial least squares regression
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
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… (More)
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Highly Cited
1996
Highly Cited
1996
An Introduction to Partial Least Squares Regression
Partial least squares is a popular method for soft modelling in industrial applications. This paper introduces the basic concepts… (More)
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