By far, the most important reason for performing a principal components analysis (PCA) is to use it as a tool for screening multivariate data.

到目前为止，最重要的原因为执行一个主成分分析(PCA)是使用它当作一个工具，用于筛选的多元数据。

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We can simplify the analysis of the change of interest rate curve by using the PCA(principal(components) analysis), and get better known to the term structure of the interest rates.

文章认为运用主成分分析方法能极大地简化对利率曲线变化的分析，便于准确了解利率曲线结构变动的模式。

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