Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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 Based Facial Age Estimation
Facial age estimation is an important problem in the field of computer image processing. Because of the difficulty of data… 
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… 
2013
2013
3D volumetric intensity reconsturction from 2D x-ray images using partial least squares regression
Reconstruction of shape and intensity from 2D x-ray images has drawn more and more attentions. Previously introduced work suffers… 
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… 
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
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)