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Volumn 66, Issue 2, 2003, Pages 117-126

Selecting both latent and explanatory variables in the PLS1 regression model

Author keywords

Explanatory variable selection; Inferential procedures; PLS component selection; PLS regression

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; CONFIDENCE INTERVAL; EMPIRICISM; LINEAR REGRESSION ANALYSIS; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PREDICTION; PRIORITY JOURNAL; STATISTICAL MODEL;

EID: 0037613488     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(03)00027-3     Document Type: Article
Times cited : (85)

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    • Dimension wise selection in partial least squares regression with a bootstrap estimated signal-noise relation to weight the loadings. PLS and Related Methods
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    • Sarabia L.A., Ortiz M.C., Sánchez M.S., Herrero A. Dimension wise selection in partial least squares regression with a bootstrap estimated signal-noise relation to weight the loadings. Esposito Vinzi V., Lauro C., Morineau A., Tenenhaus M. PLS and Related Methods. Proceedings of the PLS'01 International Symposium. 2001;327-339 CISIA-CERESTA Editeur, Paris.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.