Data Prep Sheet

proc cas; loadactionset "decisionTree"; loadactionset "aStore"; /* Load sample data and promote it to global scope */ loadTable / caslib="casuser" path="iris.sashdat" casout={name="iris", replace=true, promote=true}; /* Train a decision tree model and save its state */ decisionTree.dtreeTrain / table={name="iris"} target="Species" inputs={"SepalLength", "SepalWidth", "PetalLength", "PetalWidth"} savestate={name="myModelStore", replace=true}; /* Save the analytic store to a CAS table */ aStore.save / rstore={name="myModelStore"} table={name="myModelTable", replace=true}; run; quit;