Question: In the following, we will do two different principal component analyses ( PCAs ) of this dataset. Here these two PCAs are referred to as

In the following, we will do two different principal component analyses (PCAs) of this dataset. Here
these two PCAs are referred to as P CA1 and P CA2 respectively. The only difference between the two
PCAs is that one has the variables standardized to variance equal to 1 before calculating the covariance
matrix and its eigenvalues, whereas the other does not.

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