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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… 
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Papers overview

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2018
2018
Financial markets are systems where buyers and sellers interact and various transactions of ownership claims (stocks) takes place… 
2017
2017
Payment default is affected by many interrelated factors. When concentrating on financial data, payment default can be predicted… 
2008
2008
In this paper, we apply partial least squares (PLS) regression to predict 3D face shape from a single image. PLS describes the… 
2007
2007
The partial least squares is introduced and summarized.The direct solution method of partial least squares and the partial least… 
2006
2006
The aroma models of California Chardonnay wines were developed and evaluated using multivariate statistical procedures to… 
2005
2005
Objective To study the theory and application of partial least squares regression (PLS). To compare PLS with principal component… 
2004
2004
This work deals with a diagnosis system, based on a combined use of partial least squares regression (PLS) and neural network (NN… 
2003
2003
Partial Least Squares Regression (PLS) and its kernel version (KPLS) have become competitive regression approaches. KPLS performs… 
Highly Cited
2001
Highly Cited
2001
Abstract This work was undertaken to investigate the feasibility of using near infrared spectroscopy (NIR) and partial least… 
2000
2000
The transient response of metal-oxide sensors exposed to mild odours can be oftentimes highly correlated with the behaviour of…