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Rating: 4 out of 5 stars. Principal component analysis PCA is a mathematical procedure that uses an orthogonal linear transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. Engineering Statistics Document 7 pages. Next, lets instruct the GARCH wizard to generate and augment the goodness-of-fit calculations and residuals diagnosis sections in the model output table. Lets examine the distribution of the daily closing prices for MSFT shares.
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