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Hi, a typo was found on our Principal Component Analysis page:
https://plot.ly/ipython-notebooks/principal-component-analysis/
In order to decide which eigenvector(s) can BE dropped without losing too much information for the construction of lower-dimensional subspace, we need to inspect the corresponding eigenvalues:
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