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。
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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