- Principal component analysis
I’ve been involved quite a few statistical projects in past. Where either the dimension of explanatory variables was a problem or multicollinearity was an issue. I want to share my experience by going through a simple example how PCA (Principal component analysis) can help to achieve both those goals. It is practically not possible to cover both diagnostic analysis, regression and visualization in one blog.
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