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Volumn 29, Issue 4, 2000, Pages 1021-1037

Regression methods for high dimensional multicollinear data

Author keywords

Biased regression; Data reduction; High dimensional data; Latent root regression; Near infrared spectra; Partial least squares; Principal components regression; Stepwise regression

Indexed keywords


EID: 2542525985     PISSN: 03610926     EISSN: None     Source Type: Journal    
DOI: 10.1080/03610910008813652     Document Type: Article
Times cited : (8)

References (13)
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  • 2
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  • 5
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    • On the Structure of Partial Least Squares Regression
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    • Helland, I.S.1
  • 6
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    • PLS Regression Methods
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    • Hoskuldsson, P.1
  • 9
    • 0003741813 scopus 로고
    • Statistical Procedures in Food Research
    • Elsevier Applied Science, London
    • Martens M., and Marten H. (1986). Partial Least Squares Regression, "Statistical Procedures in Food Research", Elsevier Applied Science, London.
    • (1986) Partial Least Squares Regression
    • Martens, M.1    Marten, H.2
  • 10
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    • Neural Networks and Related Methods for classification
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  • 11
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    • A Genstat Macro for Partial Least Squares Analysis with Cross-validation Assessment of Model Dimensionality
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    • Rogers, C.A.1
  • 12
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    • A Multivariate Calibration Problem in Analytical Chemistry Solved by Partial Least Squares Models in Latent Variables
    • Sjostrom M., Wold S., Lindberg W., Persson J. and Martens H. (1983). "A Multivariate Calibration Problem in Analytical Chemistry Solved by Partial Least Squares Models in Latent Variables", Analytica Chimica Acta, 150:61-70.
    • (1983) Analytica Chimica Acta , vol.150 , pp. 61-70
    • Sjostrom, M.1    Wold, S.2    Lindberg, W.3    Persson, J.4    Martens, H.5
  • 13
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    • Stone, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.