The Objective Function of Partial Least Squares Regression

被引：0
作者：
Ter, Braak, C. J. F.
De Jong, S.
机构：
来源：
Journal of Chemometrics | / 12卷 / 01期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
[41]   A Partial Least Squares Regression Method for Growing Radial Basis Function Networks [J].
Yin, Jianchuan ;
Bi, Gexin ;
Dong, Fang .
2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, :2562-2565
[42]   Can Partial Least Squares Regression Separate the Effects of Body Size and Growth on Later Blood Pressure? Partial Least Squares Regression [J].
Cole, Timothy James .
EPIDEMIOLOGY, 2010, 21 (04) :449-451
[43]   Influence properties of trilinear partial least squares regression [J].
Serneels, S ;
Geladi, P ;
Moens, M ;
Blockhuys, F ;
Van Espen, PJ .
JOURNAL OF CHEMOMETRICS, 2005, 19 (08) :405-411
[44]   Orthogonal Nonlinear partial least-squares regression [J].
Doymaz, F ;
Palazoglu, A ;
Romagnoli, JA .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2003, 42 (23) :5836-5849
[45]   Canonical partial least squares and continuum power regression [J].
de Jong, S ;
Wise, BM ;
Ricker, NL .
JOURNAL OF CHEMOMETRICS, 2001, 15 (02) :85-100
[46]   The peculiar shrinkage properties of partial least squares regression [J].
Butler, NA ;
Denham, MC .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2000, 62 :585-593
[47]   Tide modeling using partial least squares regression [J].
Onuwa Okwuashi ;
Christopher Ndehedehe ;
Hosanna Attai .
Ocean Dynamics, 2020, 70 :1089-1101
[48]   RECURSIVE ALGORITHM FOR PARTIAL LEAST-SQUARES REGRESSION [J].
HELLAND, K ;
BERNTSEN, HE ;
BORGEN, OS ;
MARTENS, H .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1992, 14 (1-3) :129-137
[49]   Using Partial Least Squares Regression in Lifetime Analysis [J].
Mdimagh, Intissar ;
Benammou, Salwa .
NEW PERSPECTIVES IN STATISTICAL MODELING AND DATA ANALYSIS, 2011, :291-299
[50]   PoLiSh - smoothed partial least-squares regression [J].
Rutledge, DN ;
Barros, A ;
Delgadillo, I .
ANALYTICA CHIMICA ACTA, 2001, 446 (1-2) :281-296
12345