Cortes, 1995, Mach. Learn., 20, 273
V. N. Vapnik , The Nature of Statistical Learning Theory, Springer, New York, 2nd edn, 2000
Burges, 1998, Data Min. Knowl. Discovery, 2, 121, 10.1023/A:1009715923555
N. Cristianini and J.Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, Cambridge, 2000
B. Schölkopf and A. J.Smola, Learning with Kernels, MIT Press, Cambridge, MA, 2002
S. Abe , Support Vector Machines for Pattern Classification, Springer, London, 2005
Furey, 2000, Bioinformatics, 16, 906, 10.1093/bioinformatics/16.10.906
Tay, 2002, Neurocomputing, 48, 847, 10.1016/S0925-2312(01)00676-2
Guo, 2001, Image Vision Comput., 19, 631, 10.1016/S0262-8856(01)00046-4
Belousov, 2002, Chemom. Intell. Lab. Syst., 64, 15, 10.1016/S0169-7439(02)00046-1
Xu, 2006, Crit. Rev. Anal. Chem., 36, 177, 10.1080/10408340600969486
Thissen, 2004, Anal. Chem., 76, 3099, 10.1021/ac035522m
Amendolia, 2003, Chemom. Intell. Lab. Syst., 69, 13, 10.1016/S0169-7439(03)00094-7
Thissen, 2004, Chemom. Intell. Lab. Syst., 73, 169, 10.1016/j.chemolab.2004.01.002
Czekaj, 2005, J. Chemom., 19, 341, 10.1002/cem.937
Zomer, 2004, Anal. Bioanal. Chem., 378, 2008, 10.1007/s00216-004-2518-0
Zomer, 2004, J. Chemom., 18, 294, 10.1002/cem.872
Dixon, 2009, Chemom. Intell. Lab. Syst., 95, 1, 10.1016/j.chemolab.2008.07.010
Geladi, 1986, Anal. Chim. Acta, 185, 1, 10.1016/0003-2670(86)80028-9
Brereton, 2000, Analyst, 125, 2125, 10.1039/b003805i
H. Martens and T.Næs, Multivariate Calibration, Wiley, Chichester, 1989
R. G. Brereton , Chemometrics: Data Analysis for the Laboratory and Chemical Plant, Wiley, Chichester, 2003
Wold, 1987, Chemom. Intell. Lab. Syst., 2, 37, 10.1016/0169-7439(87)80084-9
I. T. Jolliffe , Principal Components Analysis, Springer, Berlin, 2nd edn, 2002
K. V. Mardia , J. T.Kent and J.Bibby, Multivariate Analysis, Academic Press, London, 1979
R. G. Brereton , Chemometrics for Pattern Recognition, Wiley, Chichester, 2009
CAMO training exercise MVA II, www.camo.com
Lukasiak, 2007, Chemom. Intell. Lab. Syst., 87, 18, 10.1016/j.chemolab.2006.01.003
Lukasiak, 2006, Analyst, 131, 73, 10.1039/B510561G
Faria, 2007, Polym. Test., 26, 402, 10.1016/j.polymertesting.2006.12.012
Lloyd, 2007, J. Chem. Inf. Model., 47, 1553, 10.1021/ci700019q
Lloyd, 2008, Analyst, 133, 1046, 10.1039/b715390b
R. A. Johnson and D. W.Wishern, Applied Multivariate Statistical Analysis, Prentice Hall, London, 1988
Fisher, 1936, Ann. Eugenics, 7, 179, 10.1111/j.1469-1809.1936.tb02137.x
Frank, 1989, J. Chemom., 3, 463, 10.1002/cem.1180030304
Dixon, 2007, Chemom. Intell. Lab. Syst., 87, 161, 10.1016/j.chemolab.2006.12.004
Ståhle, 1987, J. Chemom., 1, 185, 10.1002/cem.1180010306
Baker, 2003, J. Chemom., 17, 166, 10.1002/cem.785
Brereton, 2006, TrAC, Trends Anal. Chem., 25, 1103, 10.1016/j.trac.2006.10.005
Wold, 1978, Technometrics, 20, 397, 10.1080/00401706.1978.10489693
B. Efron and R. J.Tibshirani, An Introduction to the Bootstrap, Chapman and Hall, New York, 1993
L. Bottou , C.Cortes, J.Denker, H.Drucker, I.Guyon, L.Jackel, Y.LeCun, U.Muller, E.Sackinger, P.Simard and V.Vapnik, in International Conference on Pattern Recognition, IEEE Computer Society Press, 1994, vol. 2, pp. 77–82
Tax, 2004, Mach. Learn., 54, 45, 10.1023/B:MACH.0000008084.60811.49
Schölkopf, 2000, Neural Comput., 12, 1207, 10.1162/089976600300015565
Smola, 2004, Stat. Comput., 14, 199, 10.1023/B:STCO.0000035301.49549.88
Üstün, 2007, Anal. Chim. Acta, 595, 299, 10.1016/j.aca.2007.03.023
F. Parrella , Online Support Vector Regression, Thesis in Information Science, University of Genoa, Italy, 2007, http://onlinesvr.altervista.org/, accessed 24 Aug 2009
Brereton, 1997, Analyst, 122, 1521, 10.1039/a703654j