1. Learn
    2. /
  2. Courses
    3. /
  3. Unsupervised Learning in R

Exercise

PCA using prcomp()

In this exercise, you will create your first PCA model and observe the diagnostic results.

We have loaded the Pokemon data from earlier, which has four dimensions, and placed it in a variable called pokemon. Your task is to create a PCA model of the data, then to inspect the resulting model using the summary() function.

Instructions

100 XP
  • Create a PCA model of the data in pokemon, setting scale to TRUE. Store the result in pr.out.
  • Inspect the result with the summary() function.