主成分分析是一种将多个变量化为少数几个综合新变量的多元统计分析方法。

Principal component analysis(PCA) is a technique for linearly compressing multidimensional data into lower dimensions with minimal loss of information.

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传统的多变量统计分析方法，主要是指主成分分析方法、因子分析方法等我们常说的多元统计分析方法。

Traditional multivariable analysis method mainly includes Principal component analysis method, Factor analysis method that we usually talk of.

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传统的多变量统计分析方法，主要是指主成分分析方法、因子分析方法等我们常说的多元统计分析方法。

Traditional multivariable analysis method mainly includes Principal component analysis method, Factor analysis method that we usually talk of.

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