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Volumn 3940 LNCS, Issue , 2006, Pages 34-51

Overview and recent advances in partial least squares

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EID: 33745819990     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11752790_2     Document Type: Conference Paper
Times cited : (938)

References (53)
  • 1
    • 0003111541 scopus 로고    scopus 로고
    • A simulation study on comparison of prediction models when only a few components are relevant
    • T. Almøy. A simulation study on comparison of prediction models when only a few components are relevant. Computational Statistics and Data Analysis, 21:87-107, 1996.
    • (1996) Computational Statistics and Data Analysis , vol.21 , pp. 87-107
    • Almøy, T.1
  • 3
    • 0033544443 scopus 로고    scopus 로고
    • Non-linear projection to latent structures revisited (the neural network PLS algorithm)
    • G. Baffi, E.B. Martin, and A.J. Morris. Non-linear projection to latent structures revisited (the neural network PLS algorithm). Computers Chemical Engineering, 23:1293-1307, 1999.
    • (1999) Computers Chemical Engineering , vol.23 , pp. 1293-1307
    • Baffi, G.1    Martin, E.B.2    Morris, A.J.3
  • 4
    • 0037350844 scopus 로고    scopus 로고
    • Partial least squares for discrimination
    • M. Barker and W.S. Rayens. Partial least squares for discrimination. Journal of Chemometrics, 17:166-173, 2003.
    • (2003) Journal of Chemometrics , vol.17 , pp. 166-173
    • Barker, M.1    Rayens, W.S.2
  • 7
    • 0034355177 scopus 로고    scopus 로고
    • The peculiar shrinkage properties of partial least squares regression
    • N.A. Butler and M.C. Denham. The peculiar shrinkage properties of partial least squares regression. Journal of the Royal Statistical Society: B, 62:585-593, 2000.
    • (2000) Journal of the Royal Statistical Society: B , vol.62 , pp. 585-593
    • Butler, N.A.1    Denham, M.C.2
  • 8
    • 0027530250 scopus 로고
    • SIMPLS: An alternative approach to partial least squares regression
    • S. de Jong. SIMPLS: an alternative approach to partial least squares regression. Chemometrics and Intelligent Laboratory Systems, 18:251-263, 1993.
    • (1993) Chemometrics and Intelligent Laboratory Systems , vol.18 , pp. 251-263
    • De Jong, S.1
  • 9
    • 0035109973 scopus 로고    scopus 로고
    • Canonical partial least squares and continuum power regression
    • S. de Jong, B.M. Wise, and N.L. Ricker. Canonical partial least squares and continuum power regression. Journal of Chemometrics, 15:85-100, 2001.
    • (2001) Journal of Chemometrics , vol.15 , pp. 85-100
    • De Jong, S.1    Wise, B.M.2    Ricker, N.L.3
  • 10
    • 0025316163 scopus 로고
    • A nonlinear PLS model
    • I.E. Frank. A nonlinear PLS model. Chemolab, 8:109-119, 1990.
    • (1990) Chemolab , vol.8 , pp. 109-119
    • Frank, I.E.1
  • 11
    • 84952149204 scopus 로고
    • A statistical view of some chemometrics regression tools
    • I.E. Frank and J.H. Friedman. A Statistical View of Some Chemometrics Regression Tools. Technometrics, 35:109-147, 1993.
    • (1993) Technometrics , vol.35 , pp. 109-147
    • Frank, I.E.1    Friedman, J.H.2
  • 12
    • 0030501201 scopus 로고    scopus 로고
    • Partial least squares yields shrinkage estimators
    • C. Goutis. Partial least squares yields shrinkage estimators. The Annals of Statistics, 24:816-824, 1996.
    • (1996) The Annals of Statistics , vol.24 , pp. 816-824
    • Goutis, C.1
  • 14
  • 16
    • 84942484786 scopus 로고
    • Ridge regression: Bias estimation for nonorthogonal problems
    • A.E. Hoerl and R. W. Kennard. Ridge regression: bias estimation for nonorthogonal problems. Technometrics, 12:55-67, 1970.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 18
    • 0000230521 scopus 로고    scopus 로고
    • Use of partial least squares (PLS) in strategic management research: A review of four recent studies
    • J.S. Hulland. Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20:195-204, 1999.
    • (1999) Strategic Management Journal , vol.20 , pp. 195-204
    • Hulland, J.S.1
  • 19
    • 0000094594 scopus 로고
    • An iteration method for the solution of the eigenvalue problem of linear differential and integral operators
    • C. Lanczos. An iteration method for the solution of the eigenvalue problem of linear differential and integral operators. Journal of Research of the National Bureau of Standards, 45:225-280, 1950.
    • (1950) Journal of Research of the National Bureau of Standards , vol.45 , pp. 225-280
    • Lanczos, C.1
  • 20
    • 0028949497 scopus 로고
    • Pattern recognition, reflection from a chemometric point of view
    • P.J. Lewi. Pattern recognition, reflection from a chemometric point of view. Chemometrics and Intelligent Laboratory Systems, 28:23-33, 1995.
    • (1995) Chemometrics and Intelligent Laboratory Systems , vol.28 , pp. 23-33
    • Lewi, P.J.1
  • 22
    • 0035003914 scopus 로고    scopus 로고
    • Spatiotemporal analysis of experimental differences in event-related potential data with partial least squares
    • N.J. Lobaugh, R. West, and A.R. McIntosh. Spatiotemporal analysis of experimental differences in event-related potential data with partial least squares. Psychophysiology, 38:517-530, 2001.
    • (2001) Psychophysiology , vol.38 , pp. 517-530
    • Lobaugh, N.J.1    West, R.2    McIntosh, A.R.3
  • 23
    • 45949122062 scopus 로고
    • Analysis of two partial-least-squares algorithms for multivariate calibration
    • R. Manne. Analysis of Two Partial-Least-Squares Algorithms for Multivariate Calibration. Chemometrics and Intelligent Laboratory Systems, 2:187-197, 1987.
    • (1987) Chemometrics and Intelligent Laboratory Systems , vol.2 , pp. 187-197
    • Manne, R.1
  • 25
    • 0000056807 scopus 로고
    • Partial least squares regression
    • J.R. Piggott, editor. Elsevier Applied Science, London
    • M. Martens and H. Martens. Partial Least Squares Regression. In J.R. Piggott, editor, Statistical Procedures in Food Research, pages 293-359. Elsevier Applied Science, London, 1986.
    • (1986) Statistical Procedures in Food Research , pp. 293-359
    • Martens, M.1    Martens, H.2
  • 26
    • 0000957593 scopus 로고
    • Principal components regression in exploratory statistical research
    • W.F. Massy. Principal components regression in exploratory statistical research. Journal of the American Statistical Association, 60:234-256, 1965.
    • (1965) Journal of the American Statistical Association , vol.60 , pp. 234-256
    • Massy, W.F.1
  • 27
    • 32344442046 scopus 로고    scopus 로고
    • Efficient computations via scalable sparse kernel partial least squares and boosted latent features
    • Chicago, IL
    • M. Momma. Efficient Computations via Scalable Sparse Kernel Partial Least Squares and Boosted Latent Features. In Proceedings of SIGKDD International Conference on Knowledge and Data Mining, pages 654-659, Chicago, IL, 2005.
    • (2005) Proceedings of SIGKDD International Conference on Knowledge and Data Mining , pp. 654-659
    • Momma, M.1
  • 28
    • 0036166439 scopus 로고    scopus 로고
    • Tumor classification by partial least squares using microarray gene expression data
    • D.V. Nguyen and D.M. Rocke. Tumor classification by partial least squares using microarray gene expression data. Bioinformatics, 18:39-50, 2002.
    • (2002) Bioinformatics , vol.18 , pp. 39-50
    • Nguyen, D.V.1    Rocke, D.M.2
  • 31
    • 0036062572 scopus 로고    scopus 로고
    • Exploiting the connection between PLS, Lanczos, and conjugate gradients: Alternative proofs of some properties of PLS
    • A. Phatak and F. de Hoog. Exploiting the connection between PLS, Lanczos, and conjugate gradients: Alternative proofs of some properties of PLS. Journal of Chemometrics, 16:361-367, 2003.
    • (2003) Journal of Chemometrics , vol.16 , pp. 361-367
    • Phatak, A.1    De Hoog, F.2
  • 33
    • 84984286248 scopus 로고
    • A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm
    • S. Rännar, F. Lindgren, P. Geladi, and S. Wold. A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm. Chemometrics and Intelligent Laboratory Systems, 8:111-125, 1994.
    • (1994) Chemometrics and Intelligent Laboratory Systems , vol.8 , pp. 111-125
    • Rännar, S.1    Lindgren, F.2    Geladi, P.3    Wold, S.4
  • 34
    • 0038259120 scopus 로고    scopus 로고
    • Kernel partial least squares regression in reproducing kernel hilbert space
    • R. Rosipal and L.J. Trejo. Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space. Journal of Machine Learning Research, 2:97-123, 2001.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 97-123
    • Rosipal, R.1    Trejo, L.J.2
  • 40
    • 0000818474 scopus 로고
    • Continuum regression: Cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression
    • M. Stone and R.J. Brooks. Continuum Regression: Cross-validated Sequentially Constructed Prediction Embracing Ordinary Least Squares, Partial Least Squares and Principal Components Regression. Journal of the Royal Statistical Society: B, 52:237-269, 1990.
    • (1990) Journal of the Royal Statistical Society: B , vol.52 , pp. 237-269
    • Stone, M.1    Brooks, R.J.2
  • 41
    • 0001318292 scopus 로고
    • Canonical ridge and econometrics of joint production
    • H. D. Vinod. Canonical ridge and econometrics of joint production. Journal of Econometrics, 4:147-166, 1976.
    • (1976) Journal of Econometrics , vol.4 , pp. 147-166
    • Vinod, H.D.1
  • 42
    • 0003466536 scopus 로고
    • Splines Models of Observational Data. SIAM, Philadelphia
    • G. Wahba. Splines Models of Observational Data, volume 59 of Series in Applied Mathematics. SIAM, Philadelphia, 1990.
    • (1990) Series in Applied Mathematics , vol.59
    • Wahba, G.1
  • 44
    • 85162731973 scopus 로고
    • A multiblock partial least squares algorithm for investigating complex chemical systems
    • L.E. Wangen and B.R. Kowalsky. A multiblock partial least squares algorithm for investigating complex chemical systems. Journal of Chemometrics, 3:3-20, 1989.
    • (1989) Journal of Chemometrics , vol.3 , pp. 3-20
    • Wangen, L.E.1    Kowalsky, B.R.2
  • 45
    • 0012184060 scopus 로고    scopus 로고
    • A survey of Partial Least Squares (PLS) methods, with emphasis on the two-block case
    • Department of Statistics, University of Washington, Seattle
    • J.A. Wegelin. A survey of Partial Least Squares (PLS) methods, with emphasis on the two-block case. Technical report, Department of Statistics, University of Washington, Seattle, 2000.
    • (2000) Technical Report
    • Wegelin, J.A.1
  • 46
    • 0000736392 scopus 로고    scopus 로고
    • Analysis of multiblock and hierarchical PCA and PLS models
    • J. Westerhuis, T. Kourti, and J. MacGregor. Analysis of multiblock and hierarchical PCA and PLS models. Journal of Chemometrics, 12:301-321, 1998.
    • (1998) Journal of Chemometrics , vol.12 , pp. 301-321
    • Westerhuis, J.1    Kourti, T.2    MacGregor, J.3
  • 48
    • 0001877951 scopus 로고
    • Soft modeling: The basic design and some extensions
    • J.-K. Jöreskog and H. Wold, editor. North Holland, Amsterdam
    • H. Wold. Soft modeling: the basic design and some extensions. In J.-K. Jöreskog and H. Wold, editor, Systems Under Indirect Observation, volume 2, pages 1-53. North Holland, Amsterdam, 1982.
    • (1982) Systems under Indirect Observation , vol.2 , pp. 1-53
    • Wold, H.1
  • 49
    • 0000781020 scopus 로고
    • Partial least squares
    • S. Kotz and N.L. Johnson, editors. John Wiley & Sons
    • H. Wold. Partial least squares. In S. Kotz and N.L. Johnson, editors, "Encyclopedia of the Statistical Sciences", volume 6, pages 581-591. John Wiley & Sons, 1985.
    • (1985) Encyclopedia of the Statistical Sciences , vol.6 , pp. 581-591
    • Wold, H.1
  • 50
    • 0026578543 scopus 로고
    • Nonlinear partial least squares modeling II, Spline inner relation
    • S. Wold. Nonlinear partial least squares modeling II, Spline inner relation. Chemolab, 14:71-84, 1992.
    • (1992) Chemolab , vol.14 , pp. 71-84
    • Wold, S.1
  • 52
    • 0001681052 scopus 로고
    • The collinearity problem in linear regression. the partial least squares (PLS) approach to generalized inverse
    • S. Wold, H. Ruhe, H. Wold, and W.J. Dunn III. The collinearity problem in linear regression. The partial least squares (PLS) approach to generalized inverse. SIAM Journal of Scientific and Statistical Computations, 5:735-743, 1984.
    • (1984) SIAM Journal of Scientific and Statistical Computations , vol.5 , pp. 735-743
    • Wold, S.1    Ruhe, H.2    Wold, H.3    Dunn III, W.J.4
  • 53
    • 0030826249 scopus 로고    scopus 로고
    • An overview and some new developments in the statistical analysis of PET and fMRI data
    • K.J. Worsley. An overview and some new developments in the statistical analysis of PET and fMRI data. Human Brain Mapping, 5:254-258, 1997.
    • (1997) Human Brain Mapping , vol.5 , pp. 254-258
    • Worsley, K.J.1


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