Question: Consider a data set with 50 features. We want to find some low-dimensional representation of the data. One way to do that is through principal

Consider a data set with 50 features. We want to find some low-dimensional representation of the data. One way to do that is through principal component analysis (PCA). In particular, suppose you run a PCA model with two principal components.

How many loadings will you have for the first principal component? How many loadings will you have for the second principal component?

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