方法采用基于MVT和LMS方法的一种稳健主成分回归方法来诊断异常点，并结合实例进行方法的对比。
Methods We introduce a robust principal component regression based on MVT and LMS to detect outliers, and compare methods using a practical example.
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。
Methods: to introduce the correlation principal components regression (CPCR) and compare the difference between the CPCR and top-down PCR.
将主成分回归(PCR)和偏最小二乘回归(PLSR)的方法引入RBF网络中，提出了分别采用这两种方法确定网络权重的算法。
The Principal Component Regression (PCR) and Partial Least Square Regression (PLSR) methods are applied to determine the weight of the RBF networks with certain good results.
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