Orthogonal ization Recurrence Selection Method and Its Application
ZHU Er-Yi , YANG Peng-Yuan, DENG Zhi-Wei, HUANG Ben-Li (Department of Chemistry, Xiamen University, Xiamen, 361005)
A new model selection method named orthogonalization recurrence selection (ORS) method is proposed. By use of this method the model with higher predictive ability can be ob-tainded or the lower PRESS statistic values of the model can be achieved. The comparison is made among forward selection method in the stepwise regression and PLS as well as ORS methods through the example of QSAR(quantitative structure activity relationship).