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Ridge and PLS based rational function regression
Author(s) -
Taavitsainen VeliMatti
Publication year - 2010
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1328
Subject(s) - partial least squares regression , regression , nonlinear regression , ridge , regression analysis , linear regression , statistics , mathematics , function (biology) , computer science , geography , biology , cartography , evolutionary biology
This study introduces both ridge and partial least squares (PLS) regression based rational function regression techniques. The results of four different cases are compared to those obtained using other regression techniques. The results are mostly favorable, and the proposed method should be considered as a noteworthy alternative in nonlinear modeling. Copyright © 2010 John Wiley & Sons, Ltd.