The principal component regression of samples was made. The obtained results were identical with the reference analytical values.

对样品进行主成分回归分析，所得结果与参考值基本一致。

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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.

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。

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Then the basic concepts of principal component analysis and partial least square regression are studied, as well as their advantages and disadvantages.

引入了主成分分析与偏最小二乘回归等多元统计与回归方法，并分析了其基本思想与优缺点。

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