A comparison of various methods for multivariate regression with highly collinear variables
type: Item
instance of: scholarly article
title: A comparison of various methods for multivariate regression with highly collinear variables
zbMATH Open document ID: 1405.62096
author: Henk A. L. Kiers
author: Age K. Smilde
published in: Statistical Methods and Applications
publication date: 2011-08-25T00:00:00Z
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62H25
zbMATH DE Number: 5942380
zbMATH Keywords: multivariate regression
zbMATH Keywords: PLS
zbMATH Keywords: principal component regression
zbMATH Keywords: principal covariate regression
zbMATH Keywords: power regression
zbMATH Keywords: multicollinearity
MaRDI profile type: Publication
full work available at URL: s10260-006-0025-5
OpenAlex ID: W2123201958
cites work: Q4363994
cites work: Joint Continuum Regression for Multiple Predictands
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: Ridge Regression: Biased Estimation for Nonorthogonal Problems
cites work: Reduced-rank regression for the multivariate linear model
cites work: Majorization as a tool for optimizing a class of matrix functions
cites work: Q3996916
cites work: Q5511808
cites work: Q3490791
cites work: Redundancy analysis: an alternative for canonical correlation analysis
cites work: The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
DOI: 10.1007/S10260-006-0025-5
description: scientific article; zbMATH DE number 5942380