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### Q8. The wine dataset contains the results of a chemical analysis of wines grown in a specific area of Italy. Three types of wine are represented in the 178 samples, with the results of 13 chemical analyses recorded for each sample.
5-{r}
wine <- sep=", ") read.table("http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data".
colnames(wine) <- c('Type', 'Alcohol', 'Malic', 'Ash', 'Alcalinity', 'Magnesium', 'Phenols'. 'Flavanoids', 'Nonflavanoids', Proanthocyanins', 'Color', 'ние". 'Dilution', 'Proline')
Scale the 13 chemical variables (from the second to the last column) and run a principle components analysis to reduce their dimension.

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