메뉴 건너뛰기




Volumn 19, Issue 1, 2005, Pages 32-44

A twist to partial least squares regression

Author keywords

Cross validation; Model interpretation; Model selection; PLS1; Powers of correlations and standard deviations

Indexed keywords

BENCHMARKING; LEAST SQUARES APPROXIMATIONS;

EID: 23044515101     PISSN: 08869383     EISSN: None     Source Type: Journal    
DOI: 10.1002/cem.904     Document Type: Article
Times cited : (81)

References (19)
  • 1
    • 0002555784 scopus 로고
    • The multivariate calibration problem in chemistry solved by the PLS method
    • Ruhe A, Kågström B (eds). Springer: Heidelberg
    • Wold S, Martens H, Wold H. The multivariate calibration problem in chemistry solved by the PLS method. In Proceedings of Conference on Matrix Pencils, Ruhe A, Kågström B (eds). Springer: Heidelberg, 1983; 286-293.
    • (1983) Proceedings of Conference on Matrix Pencils , pp. 286-293
    • Wold, S.1    Martens, H.2    Wold, H.3
  • 3
    • 84952149204 scopus 로고
    • A statistical view of some chemometrics regression tools
    • Frank IE, Friedman JH. A statistical view of some chemometrics regression tools. Technometrics 1993; 35: 109-148.
    • (1993) Technometrics , vol.35 , pp. 109-148
    • Frank, I.E.1    Friedman, J.H.2
  • 5
    • 0035852404 scopus 로고    scopus 로고
    • Variable and subset selection in PLS regression
    • Höskuldsson A. Variable and subset selection in PLS regression. Chemometrics Intell. Lab. Syst. 2001; 55: 151-171.
    • (2001) Chemometrics Intell. Lab. Syst. , vol.55 , pp. 151-171
    • Höskuldsson, A.1
  • 6
    • 84984336225 scopus 로고
    • Interactive variable selection (IVS) for PLS. Part 1: Theory and algorithms
    • Lindgren F, Geladi P, Rännar S, Wold S. Interactive variable selection (IVS) for PLS. Part 1: Theory and algorithms. J. Chemometrics 1994; 8: 349-363.
    • (1994) J. Chemometrics , vol.8 , pp. 349-363
    • Lindgren, F.1    Geladi, P.2    Rännar, S.3    Wold, S.4
  • 7
    • 0036083139 scopus 로고    scopus 로고
    • Orthogonal projections to latent structures (O-PLS)
    • Trygg J, Wold S. Orthogonal projections to latent structures (O-PLS). J. Chemometrics 2002; 17: 119-128.
    • (2002) J. Chemometrics , vol.17 , pp. 119-128
    • Trygg, J.1    Wold, S.2
  • 8
    • 85207097621 scopus 로고
    • Wavelength selection in multicomponent near-infrared calibration
    • Brown PJ. Wavelength selection in multicomponent near-infrared calibration. J. Chemometrics 1992; 6: 151-171.
    • (1992) J. Chemometrics , vol.6 , pp. 151-171
    • Brown, P.J.1
  • 9
    • 0033905297 scopus 로고    scopus 로고
    • Interval partial least-squares regression (iPLS): A comparative chemometric study with an example from near-infrared spectroscopy
    • Nørregaard L, Saudland A, Wagner J, Nielsen JP, Munck L, Engelsen SB. Interval partial least-squares regression (iPLS): a comparative chemometric study with an example from near-infrared spectroscopy. Appl. Spectrosc. 2000; 54: 413-419.
    • (2000) Appl. Spectrosc. , vol.54 , pp. 413-419
    • Nørregaard, L.1    Saudland, A.2    Wagner, J.3    Nielsen, J.P.4    Munck, L.5    Engelsen, S.B.6
  • 10
    • 0034398904 scopus 로고    scopus 로고
    • Variable selection in near infrared spectroscopy based on significance testing in partial least squares regression
    • Westad F, Martens H. Variable selection in near infrared spectroscopy based on significance testing in partial least squares regression. J. Near Infrared Spectrosc. 2000; 8: 117-124.
    • (2000) J. Near Infrared Spectrosc. , vol.8 , pp. 117-124
    • Westad, F.1    Martens, H.2
  • 11
    • 0041408309 scopus 로고    scopus 로고
    • Optimised score plot by principal components of predictions
    • Langsrud Ø, Næs T. Optimised score plot by principal components of predictions. Chemometrics Intell. Lab. Syst. 2003; 68: 61-74.
    • (2003) Chemometrics Intell. Lab. Syst. , vol.68 , pp. 61-74
    • Langsrud, Ø.1    Næs, T.2
  • 12
    • 0000818474 scopus 로고
    • Continuum regression: Cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression
    • Stone M, Brooks RJ. Continuum regression: cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression. J. R. Statist. Soc. B 1990; 52: 237-269.
    • (1990) J. R. Statist. Soc. B , vol.52 , pp. 237-269
    • Stone, M.1    Brooks, R.J.2
  • 15
    • 0030816163 scopus 로고    scopus 로고
    • Two data sets of near infrared spectra
    • Kalivas JH. Two data sets of near infrared spectra. Chemometrics Intell. Lab. Syst. 1997; 37: 255-259.
    • (1997) Chemometrics Intell. Lab. Syst. , vol.37 , pp. 255-259
    • Kalivas, J.H.1
  • 16
    • 84986745987 scopus 로고
    • Application of near infrared spectroscopy to the compositional analysis of biscuits and biscuit doughs
    • Osborne BG, Fearn T, Miller AR, Douglas S. Application of near infrared spectroscopy to the compositional analysis of biscuits and biscuit doughs. J. Sci. Food Agric. 1984; 35: 99-105.
    • (1984) J. Sci. Food Agric. , vol.35 , pp. 99-105
    • Osborne, B.G.1    Fearn, T.2    Miller, A.R.3    Douglas, S.4
  • 17
    • 1542469448 scopus 로고    scopus 로고
    • Bayesian wavelet regression on curves with application to a spectroscopic calibration problem
    • Brown PJ, Fearn T, Vannucci M. Bayesian wavelet regression on curves with application to a spectroscopic calibration problem. J. Am. Statist. Assoc. 2001; 96: 398-408.
    • (2001) J. Am. Statist. Assoc. , vol.96 , pp. 398-408
    • Brown, P.J.1    Fearn, T.2    Vannucci, M.3
  • 19
    • 0000676992 scopus 로고    scopus 로고
    • Evaluation of alternative spectral feature extraction methods of textural images for multivariate modelling
    • Indahl U, Næs T. Evaluation of alternative spectral feature extraction methods of textural images for multivariate modelling. J. Chemometrics 1998; 12: 261-278.
    • (1998) J. Chemometrics , vol.12 , pp. 261-278
    • Indahl, U.1    Næs, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.