Use the Cars93 data set from the built-in package "MASS" available in R.

You are to analyse the data using unsupervised learning.

1)) Principal Components Analysis

****Any packages and functions referred to below are just suggestions. You can use different methods/packages/functions

Principal Components Analysis (25%)

Perform PCA on your Cars93 Data.

Display and report on your findings (this is totally up to you).

Use your graphics, and explain how you choose 3 possible cars to suggest to each of the following customers:

(a) A student wants a cheap, fuel-efficient car, and is not concerned of its origin.

(b) A mom with four young children can only drive automatic and loves US cars.

(c) A middle-aged executive wants a sporty, non-US vehicle. For him, price is not a factor.

(d) A consulate wants a luxury midsize sedan for its personnel. They are not willing to purchase US-made vehicles because of a political situation.

(e) A family of 6-footers who want a midsize car, not a van.