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@srishtis
Created October 4, 2018 08:50
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Performing PCA with covariance matrix
# Setting the scale=FALSE option will use the covariance matrix to get the PCs
cars.PC.cov = prcomp(mtcars[,-11], scale=FALSE) # sellecting the 11 columns by indexing mtcars
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