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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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Related topics

Related topics

18 relations
Causal inferenceChemometricsData miningFeature extraction

Broader (1)

Least squares

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Forecasting Stock Price Using Partial Least Squares Regression
Financial markets are systems where buyers and sellers interact and various transactions of ownership claims (stocks) takes place… 
2017
2017
Partial Least Squares Regression in Payment Default Prediction
Payment default is affected by many interrelated factors. When concentrating on financial data, payment default can be predicted… 
2011
2011
Hand Gesture Recognition Using Histogram of Oriented Gradients and Partial Least Squares Regression
In this paper we propose a real-time hand gesture recognition system that employs the techniques developed for pedestrian… 
2010
2010
Tumor Classification Based on Partial Least Square Regression
As the gene expression profiling data being with the characteristic of severe multicollinearity, small samples, and high… 
2007
2007
Summary of Partial Least Squares Regression
The partial least squares is introduced and summarized.The direct solution method of partial least squares and the partial least… 
2006
2006
Use of Partial Least Squares Regression and Multidimensional Scaling on Aroma Models of California Chardonnay Wines
The aroma models of California Chardonnay wines were developed and evaluated using multivariate statistical procedures to… 
2005
2005
Theory and Application of Partial Least Squares Regression
Objective To study the theory and application of partial least squares regression (PLS). To compare PLS with principal component… 
2004
2004
Combined use of partial least squares regression and neural network for diagnosis tasks
This work deals with a diagnosis system, based on a combined use of partial least squares regression (PLS) and neural network (NN… 
2003
2003
Sparse Kernel Partial Least Squares Regression
Partial Least Squares Regression (PLS) and its kernel version (KPLS) have become competitive regression approaches. KPLS performs… 
Review
1992
Review
1992
PLS/neural networks
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