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Stacking method for determining weights in partial least squares model averaging
Publication year - 2021
Publication title -
journal of mathematical and computational science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.12
H-Index - 2
ISSN - 1927-5307
DOI - 10.28919/jmcs/5490
Subject(s) - akaike information criterion , mathematics , bayesian information criterion , consistency (knowledge bases) , stacking , partial least squares regression , statistics , least squares function approximation , generalized least squares , total least squares , information criteria , linear regression , mean squared error , regression , model selection , physics , geometry , nuclear magnetic resonance , estimator

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