Methods: to introduce the correlation principalcomponentsregression (CPCR) and compare the difference between the CPCR and top-down PCR.
方法:介绍相关主成分回归c PCR法并将该法与传统的主成分回归进行比较。
2
It is proved that the combining ridge and principalcomponentsregression have the minimum variance sum in the class of reduced-dimension estimators.
证明了在一类岭型降维估计中,岭型主成分估计的方差和最小。
3
Predictive capability between the new model (principalcomponents ANN model) and linear regression model for the same predictors is discussed based on the independent samples and historical samples.