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(3) (12 pts) Use the provided dataset HW5_data.csv, where n = 200 and p = 5, to perform a PCA and find the least squares

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(3) (12 pts) Use the provided dataset "HW5_data.csv", where n = 200 and p = 5, to perform a PCA and find the least squares estimator for y and B. You can use programming software (R, Python, etc.) to do the computations. You do not need to submit the code but show your working, including equations and conclusions. (4) (10 pts) Find y using only 4 principle components. (5) (10 pts) Now suppose we want to keep m components where m is the smallest integer for which > 0.9. Find m and the corresponding Bpca

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