Step 1. You need to download the dataset "organics.csv" in D21-> Content-> Project folder and import it to SAS. The variables in the data set are shown below with the appropriate roles and levels: Now you want to remove two variables "DemCluster" and "TargetAmount". The id of a customer shouldn't be considered in data mining; however you don't need to remove it. In the table below, the measurement level "nominal" means that the variable is categorical, and "Interval" means the variable is continuous. The target or dependent variable is "targetBuy". Variable Type Model role Description ID Nominal ID Customer loyalty ID Affluence grade on a scale from DemAffl Interval Input 1 to 30 DemAge Interval Input Age Type of residential DemCluster Nominal Rejected neighborhood DemClusterGroup Nominal Input Neighborhood group DemGender Nominal Input M, F, U DemReg Nominal Input Geo region DemTVReg Nominal Input TV region Loyalty status, tin, silver, gold or PromClass Nominal Input platinum PromSpend Interval Input Total amount spent Prom Time Interval Input Time as a member Organics purchased? 1 = yes ( = TargetBuy Binary Target no Number of organic products TargetAmt Interval Rejected purchased