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Huang, X.H., Pan, W., Han, X.Q., Chen, Y.J., Miller, L.W. and Hall, J. (200...
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Shen, L. and Tan, E.C. (2005) PLS and SVD based pena- lized logistic regres...
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Fort, G. and Lambert-Lacroix, S. (2005) Classification using partial least ...
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Leibovitch, F.S., et al. (1999) Brain SPECT imaging and left hemispatial ne...
Leibovitch, F.S., et al. (1999) Brain SPECT imaging and left hemispatial neglect covaried using partial least squares: the sunnybrook stroke study. Human Brain Mapping, 7(4), […]
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McIntoch, A.R., Bookstein, F.L., Haxby, J.C. and Grady, C.L. (1996) Spatial...
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Bookstein, F.L. (1994) Partial least squares: A dose- response model for me...
Bookstein, F.L. (1994) Partial least squares: A dose- response model for measurement in the behavioral and brain sciences. Psycoloquy, 5(23), least squares (1). None
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Naes, T. and Martens, H. (1985) Comparison of prediction methods for multic...
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Wold, H. (1975) Soft modelling by latent variables: Non- linear iterative p...
Wold, H. (1975) Soft modelling by latent variables: Non- linear iterative partial least squares (NIPALS) approach. In: Gani, M.S.B., Ed., Perspectives in Probability and Statistics, […]
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Frank, I. and Friedman, J. (1993) A statistic review of some chemometrics r...
Frank, I. and Friedman, J. (1993) A statistic review of some chemometrics regression tools, with discussion, Technometrics, 35(2), 109-148. **”Frank, I. and Friedman, J. (1993) […]
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