A New Robust Partial Least Squares Regression Method Based on a Robust and an Efficient Adaptive Reweighted Estimator of Covariance

Partial Least Squares Regression (PLSR) is a linear regression technique developed as an incomplete or “partial” version of the least squares estimator of regression, applicable when high or perfect multicollinearity is present in the predictor variables. Robust methods are introduced to reduce or...

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Bibliographic Details
Main Authors: Esra Polat, Suleyman Gunay
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2019-10-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/276