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What is principal component analysis and how can you create a pca model in r?
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Answer / Anurag Lohant
```RnnPrincipal Component Analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. In R, you can create a PCA model using the 'prcomp' function.n```
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