This paper deals with the multivariate vector analysis of quality data by geometric transformation, rotating coordinates and computation of the principalcomponent of initial variables.
本文讨论多元质量数据的矢量分析方法，几何变换，坐标旋转和初始变量的主分量计算不同变量的主分量值。
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Well-known linear transformation methods include, for example, principalcomponent analysis, factor analysis, and projection pursuit.