7456 ! Chapter 93: The VARCLUS Procedure data JobRat; input (Communication_Skills Problem_Solving Learning_Ability Judgement_under_Pressure Observational_Skills Willingness_to_Confront_Problems Interest_in_People Interpersonal_Sensitivity Desire_for_Self_Improvement Appearance Dependability Physical_Ability Integrity Overall_Rating) (1.); datalines; 26838853879867 74758876857667 56757863775875 67869777988997 ... more lines ... 99997899799799 99899899899899 76656399567486 ; The following statements cluster the variables: proc varclus data=JobRat maxclusters=3; var Communication_Skills--Integrity; run; The DATA= option specifies the SAS data set JobRat as input. The MAXCLUSTERS=3 option specifies that no more than three clusters be computed. By default, PROC VARCLUS splits and optimizes clusters until all clusters have a second eigenvalue less than one. In this example, the default setting would produce only two clusters, but going to three clusters produces a more interesting result. The VAR statement lists the numeric variables ( Communication_Skills ­ Integrity ) to be used in the analysis. The overall rating is omitted from the list of variables. Although the VARCLUS procedure displays output for one cluster, two clusters, and three clusters, the following figures display only the final analysis for three clusters. For each cluster, Figure 93.1 displays the number of variables in the cluster, the cluster variation, the total explained variation, and the proportion of the total variance explained by the variables in the cluster. The variance explained by the variables in a cluster is similar to the variance explained