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Adaptive Reweighted Minimum Vector Variance Estimator of Covariance Used for as a New Robust Approach to Partial Least Squares Regression
2020
GAZI UNIVERSITY JOURNAL OF SCIENCE
Highlights • A new robust PLSR method: PLS-ARWMVV is introduced. • PLS-ARWMVV is compared with ordinary PLSR and four popular robust PLSR methods. • The methods are compared in terms of efficiency, fitting to data and prediction capability. • The proposed robust PLS-ARWMVV is robust, efficient and fitting to data set well. Article Info Abstract Partial Least Squares Regression (PLSR), which is developed as partial type of the least squares estimator of regression in case of multicollinearity
doi:10.35378/gujs.642935
fatcat:26fpeykwsvdphmjjv2lqmdomli