Question: The following problem is in Google Colabs Python. I understand you don't have the data to actually show the correct combination of variables the purpose

The following problem is in Google Colabs Python. I understand you don't have the data to actually show the correct combination of variables the purpose of the question is to learn how to implement PCA for a similar problem. Thank you.

Within a dataframe 'y' is the only dependent variable and features 1 through 10 are independent variables. Perform Principal Component Analysis that would help to determine which of the features would give the best prediction in a regressional analysis. train_cols represents the variable names to analyze for this problem.

train_cols = ["feature1", "feature2", "feature3", "feature4", "feature5", "feature6", "feature7", "feature8", "feature9", "feature10", "y"]

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