Naive Principal Component Analysis (using R)
Post from Pablo Bernabeu’s blog. Principal Component Analysis (PCA) is a technique used to find the core components that underlie different variables. It comes in very useful whenever doubts arise about the true origin of three or more variables. There are two main methods for performing a PCA: naive ...
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