[1] Lu Wanzhen, Yuan Hongfu, Xu Guangtong et al.. Modern Analysis Techniques for Near Infrared Spectroscopy[M]. Beijing: China Petrochemical Press, 2000
[5] Martens H, Naes T. Multivariate Calibration[M]. Chichester, UK: John Wiley & Sons, Inc., 1989
[6] Chu Xiaoli, Yuan Hongfu, Lu Wanzhen. Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique[J]. Progress in Chemistry, 2004, 16(4): 528~542
[7] J. A. F. Pierna, O. Abbas, V. Baeten et al.. A backward variable selection method for PLS regression (BVSPLS)[J]. Analytica Chimica Acta., 2009, 642(1~2): 89~93
[8] R. Leardi, Application of genetic algorithm-PLS for feature selection in spectral data sets[J]. Journal of Chemometrics, 2000, 14: 643~655
[11] T. J. Mitchell, J. J. Beauchamp. Bayesian variable selection in linear regression[J]. Journal of the American Statistical Association, 1988, 83(404): 1023~1032
[12] Tao Chen, Elaine Martin. Bayesian linear regression and variable selection for spectroscopic calibration[J]. Analytica Chimica Acta, 2009, 631: 13~21
[13] A. G. Frenich, D. Jouan-Rimbaud, D. L. Massart et al.. Wavelength selection method for multicomponent spectrophotometric determinations using partial least squares[J]. Analyst., 1995, 120: 2787~2792
[14] R. F. Teófilo J. P. A. Martins, M. M. C., Ferreira MMC. Sorting variables by using informative vectors as a strategy for feature selection in multivariate regression[J]. Journal of Chemometrics, 2009, 23(1): 32~48
[15] V. Centner, D. L. Massart, O. E de Noord et al.. Elimination of uninformative variables for multivariate calibration[J]. Analytical Chemistry, 1996, 68(21): 3851~3858
[16] M. Stone, R. J. Brooks. Continuum regression: cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression[J]. Journal of the Royal Statistical Society. Series B(Methodological), 1990, 52(2): 237~269
[17] H. A. Martens, P. Dardenne. Validation and verification of regression in small data sets[J]. Chemometrics and Intelligent Laboratory Systems, 1998, 44(1~2): 99~121
[18] Q. S. Xu, Y. Z. Liang. Monte Carlo cross validation[J]. Chemometrics and Intelligent Laboratory Systems, 2001, 56(1): 1~11
[19] R. D. R. Validation of regression models: methods and examples[J]. Technometrics, 1977, 19(4): 415~428
[20] J. H. Kalivas. Two data sets of near infrared spectra[J]. Chemometrics and Intelligent Laboratory Systems, 1997, 37(2): 255~259