PCA regression is a regressional model without intercept. Thus, principal components inevitably come through the origin. If you forget to center your data, the 1st principal component may pierce the cloud not along the main direction of the cloud, which would be misleading.
if you are predicting y for an unseen x, you have to add the intercept back in after prediction
- file:///C:/Documents%20and%20Settings/Karl/My%20Documents/Downloads/JDS-220.pdf
- http://www.jstor.org/discover/10.2307/2685559?uid=3739408&uid=2&uid=3737720&uid=4&sid=21103921391173
的形式，即在主成分表达式的最后含有常数项。。。敢请想问下这是怎么弄得呢？毕业论文中，着急啊。。。。
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