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Volumn 48, Issue 2, 1999, Pages 167-180

Latent variable multivariate regression modeling

Author keywords

Errors in variables; Factor analysis; Multivariate regression; Partial least squares; Principal components regression; Reduced rank regression

Indexed keywords

ARTICLE; ASSAY; CHEMOMETRICS; DATA ANALYSIS; MODEL; MULTIVARIATE ANALYSIS; POLYMERASE CHAIN REACTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL;

EID: 0033517115     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(99)00018-0     Document Type: Article
Times cited : (134)

References (39)
  • 3
    • 0016511949 scopus 로고
    • Reduced-rank regression for the multivariate linear model
    • Izenman A.J. Reduced-rank regression for the multivariate linear model. Journal of Multivariate Analysis. 5:1975;248-264.
    • (1975) Journal of Multivariate Analysis , vol.5 , pp. 248-264
    • Izenman, A.J.1
  • 4
    • 0001495113 scopus 로고
    • Procedures for reduced rank regression
    • Davies P.T., Tso M.K.-S. Procedures for reduced rank regression. Applied Statistics. 31(3):1982;244-255.
    • (1982) Applied Statistics , vol.31 , Issue.3 , pp. 244-255
    • Davies, P.T.1    Tso, M.K.-S.2
  • 6
    • 0002500224 scopus 로고
    • Estimation in a multivariate 'Errors-in-variables' regression model: Large sample results
    • Gleser L.J. Estimation in a multivariate 'Errors-in-variables' regression model: large sample results. The Annals of Statistics. 9:1981;24-44.
    • (1981) The Annals of Statistics , vol.9 , pp. 24-44
    • Gleser, L.J.1
  • 9
    • 85152373811 scopus 로고
    • Notes on the history and nature of partial least squares (PLS) modelling
    • Geladi P. Notes on the history and nature of partial least squares (PLS) modelling. Journal of Chemometrics. 2:1988;231-246.
    • (1988) Journal of Chemometrics , vol.2 , pp. 231-246
    • Geladi, P.1
  • 11
    • 84952149204 scopus 로고
    • A statistical view of some chemometrics regression tools (with discussion)
    • Frank I.E., Friedman J.H. A statistical view of some chemometrics regression tools (with discussion). Technometrics. 35:1993;109-148.
    • (1993) Technometrics , vol.35 , pp. 109-148
    • Frank, I.E.1    Friedman, J.H.2
  • 14
    • 0345447789 scopus 로고    scopus 로고
    • Discussion of predicting multivariate responses in multiple linear regression (with discussion)
    • in: L. Breiman, J.H. Friedman (Eds.)
    • A.J. Burnham, J.F. MacGregor, R. Viveros, Discussion of predicting multivariate responses in multiple linear regression (with discussion), in: L. Breiman, J.H. Friedman (Eds.), Journal of the Royal Statistical Society, Series B, Vol. 59, 1997, p. 46.
    • (1997) Journal of the Royal Statistical Society, Series B , vol.59 , pp. 46
    • Burnham, A.J.1    MacGregor, J.F.2    Viveros, R.3
  • 15
    • 84952080487 scopus 로고
    • PLS in chemical practice, discussion of a statistical view of some chemometrics regression tools (with discussion)
    • in: I.E. Frank, J.H. Friedman (Eds.)
    • S. Wold, PLS in chemical practice, discussion of a statistical view of some chemometrics regression tools (with discussion), in: I.E. Frank, J.H. Friedman (Eds.), Technometrics, Vol. 35, 1993, pp. 136-139.
    • (1993) Technometrics , vol.35 , pp. 136-139
    • Wold, S.1
  • 19
    • 0042292781 scopus 로고
    • Partial least-squares method for spectrofluorimetric analysis of mixtures of humic acid and ligninsulfonate
    • Lindberg W., Persson J., Wold S. Partial least-squares method for spectrofluorimetric analysis of mixtures of humic acid and ligninsulfonate. Analytical Chemistry. 55:1983;643-648.
    • (1983) Analytical Chemistry , vol.55 , pp. 643-648
    • Lindberg, W.1    Persson, J.2    Wold, S.3
  • 20
    • 0002887364 scopus 로고
    • Pattern Recognition Techniques in Drug Design
    • in: C. Hansch, P.G. Sammes, J.B. Taylor, C.A. Ramsden (Eds.), Quantitative Drug Design, Pergamon, Oxford
    • W.J. Dunn, III, S. Wold, Pattern Recognition Techniques in Drug Design, in: C. Hansch, P.G. Sammes, J.B. Taylor, C.A. Ramsden (Eds.), Comprehensive Medicinal Chemistry, Vol. 4, Quantitative Drug Design, Pergamon, Oxford, 1990, pp. 691-714.
    • (1990) Comprehensive Medicinal Chemistry , vol.4 , pp. 691-714
    • Dunn W.J. III1    Wold, S.2
  • 22
    • 85033830269 scopus 로고
    • Multivariate modelling and on-line data presentation for process optimization at LKAB
    • Montreal, Canada
    • K. Tano, P.O. Samskog, J.C. Garde, B. Skagerberg, Multivariate modelling and on-line data presentation for process optimization at LKAB, Proceedings of APCOM XXIV, Montreal, Canada, 1993.
    • (1993) Proceedings of APCOM XXIV
    • Tano, K.1    Samskog, P.O.2    Garde, J.C.3    Skagerberg, B.4
  • 23
    • 0345016590 scopus 로고    scopus 로고
    • Umetri, SIMCA-P for Windows, Tutorial, Umetri, Umea
    • Umetri, SIMCA-P for Windows, Tutorial, Umetri, Umea, 1996.
    • (1996)
  • 24
    • 0029703047 scopus 로고    scopus 로고
    • Experiences with industrial applications of projection methods for multivariate statistical process control
    • Special supplement
    • Kourti T., Lee J., MacGregor J.F. Experiences with industrial applications of projection methods for multivariate statistical process control. Computers in Chemical Engineering. 20:1996;S2745-S2750. Special supplement.
    • (1996) Computers in Chemical Engineering , vol.20
    • Kourti, T.1    Lee, J.2    MacGregor, J.F.3
  • 25
    • 0029252734 scopus 로고
    • Multivariate SPC charts for monitoring batch processes
    • Nomikos P., MacGregor J.F. Multivariate SPC charts for monitoring batch processes. Technometrics. 37:1995;41-59.
    • (1995) Technometrics , vol.37 , pp. 41-59
    • Nomikos, P.1    MacGregor, J.F.2
  • 29
    • 0028905904 scopus 로고
    • Tutorial: Process analysis, monitoring and diagnosis, using multivariate projection methods
    • Kourti T., MacGregor J.F. Tutorial: process analysis, monitoring and diagnosis, using multivariate projection methods. Chemometrics and Intelligent Laboratory Systems. 28:1995;3-21.
    • (1995) Chemometrics and Intelligent Laboratory Systems , vol.28 , pp. 3-21
    • Kourti, T.1    MacGregor, J.F.2
  • 30
    • 0031329505 scopus 로고    scopus 로고
    • Using on-line process data to improve quality: Challenges for statisticians
    • MacGregor J.F. Using on-line process data to improve quality: challenges for statisticians. International Statistical Review. 65:1997;309-323.
    • (1997) International Statistical Review , vol.65 , pp. 309-323
    • MacGregor, J.F.1
  • 34
    • 0030914367 scopus 로고    scopus 로고
    • Design of active analogues of a fifteen residue peptide using D-optimal design, QSAR, and a combinatorial search algorithm
    • Mee R.P., Auton T.R., Morgan P.J. Design of active analogues of a fifteen residue peptide using D-optimal design, QSAR, and a combinatorial search algorithm. Journal of Peptide Research. 49:1997;89-102.
    • (1997) Journal of Peptide Research , vol.49 , pp. 89-102
    • Mee, R.P.1    Auton, T.R.2    Morgan, P.J.3
  • 36
    • 0032069959 scopus 로고    scopus 로고
    • Product design through multivariate statistical analysis of process data
    • Jaeckle C., MacGregor J.F. Product design through multivariate statistical analysis of process data. AIChE Journal. 44(5):1997;1105-1118.
    • (1997) AIChE Journal , vol.44 , Issue.5 , pp. 1105-1118
    • Jaeckle, C.1    MacGregor, J.F.2
  • 38
    • 0027323006 scopus 로고
    • An approach to interval estimation in partial least squares regression
    • Phatak A., Reilly P.M., Penlidis A. An approach to interval estimation in partial least squares regression. Analytica Chimica Acta. 277:1993;495-501.
    • (1993) Analytica Chimica Acta , vol.277 , pp. 495-501
    • Phatak, A.1    Reilly, P.M.2    Penlidis, A.3
  • 39
    • 0000079353 scopus 로고    scopus 로고
    • Propagation of measurement errors for the validation of predictions obtained by principal components regression and partial least squares
    • Faber K., Kowalski B.R. Propagation of measurement errors for the validation of predictions obtained by principal components regression and partial least squares. Journal of Chemometrics. 11:1997;181-238.
    • (1997) Journal of Chemometrics , vol.11 , pp. 181-238
    • Faber, K.1    Kowalski, B.R.2


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