6PAM 1036 - Multivariate Statistics CW2 Question 2. (To be done using 'R'). For this question, you will have to work with Pima Indians Diabetes Database data set in R, named 'PimaIndiansDiabetes' from 'mlbench' library. The complete data set can be seen by simply typing Pima IndiansDiabetes into the R console, however, for the sake of this question, we will be working with subsets of this data frame. As part of your solutions for this question, you will have to print screen or save some output, so I suggest to submit the entirety of this question as a Word or LaTex document (use \\begin (verbatim} Your R output \\end (verbatim} ) separate to the hand- written document you scan and submit for the previous questions. a) The first step in this question, is to remove the columns that we will not be using in the analysis from the original PimaIndiansDiabetes data set, including the 'diabetes' variable which contains the outcome (positiveegative), so that all 768 observations in the sample can be thought as being from the same population, i.e. assume we did not know they were separated into diabetes outcomes. To do this, we will create a new data frame, called sample.data which consists of all rows of the the PimaIndiansDiabetes data frame but only the columns from 1 to 4, using the following code: > library (mlbench) > data ("Pima IndiansDiabetes") > sample. data