Citation: | Wang Huiwen, Yi Bin, Ye Minget al. Variable selection based on principal basis analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(11): 1288-1291. (in Chinese) |
[1] Wold S,Martens H,Wold H.The multivariate calibration problem in chemistry solved by the PLS method[M].Heidelberg:Springer-Verlag,1983 [2] Cook R D,Weisberg S. Sliced inverse regression for dimension reduction[J].Journal of the American Statistical Association,1991,86(414):328-332 [3] Yutaka Tanaka,Yoichi Mori.Principal component analysis based on a subset of variables:variable selection and sensitivity analysis[J].American Journal of Mathematical and Management Sciences,1997,17(1-2):61-89 [4] 王惠文,陈梅玲,Gilbert Saporta. 基于Gram-Schmidt过程的回归模型及其在刀具磨损预报中的应用[J].北京航空航天大学学报,2008,34(6):729-733 Wang Huiwen,Chen Meiling,Gilbert Saporta.Gram-Schmidt regression and application in cutting tool abrasion prediction [J].Journal of Beijing University of Aeronautics and Astronautics,2008, 34(6):729-733 (in Chinese) [5] Jain S K,Gunawarddena A D.Linear algebra:an interactive approach[M].Beijing: China Machine Press, 2003 [6] 王惠文.偏最小二乘回归方法及其应用[M].北京:国防工业出版社,1997:93-107 Wang Huiwen.Partial least-squares regression-method and applications[M].Beijing: National Defense Industry Press,1997:93-107(in Chinese)
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