Developing Information on Business
PROC CLUSTER
Examples:
-
Cluster analysis with the average method and displaying the hierarchical tree based on r2
PROC CLUSTER DATA=dataset1 METHOD=AVERAGE[CENTROID/WARD] OUTTREE=dataset2 CCC;
VAR x1 x2 ... xn;
RUN;
PROC TREE DATA=dataset2 HAXIS=AXIS1 HORIZONTAL;
HEIGHT _rsq_;
RUN;
PROC FACTOR
Examples:
-
Factorial analysis with the prior communality estimated for each variable to its squared multiple correlation with all other variables, the orthogonal varimax rotation, which corresponds to the specification ROTATE=ORTHOMAX with GAMMA=1 and 6 factors.
PROC FACTOR DATA=vars PRIORS=SMC ROTATE=VARIMAX NFACTORS=6 SCREE;
VAR x1 x2 ... xn;
RUN;
PROC GLM
Examples:
-
General inear model.
PROC GLM DATA=work.vars;
CLASS q1 q2 ... qn;
MODEL y1 y2 = x1 x2 ... xn / SS3;
RUN;
QUIT;
PROC REG
Examples:
-
Ridge regression with durbin-watson test (errors autocorrelation) and variation inflaction factor (multicollinearity) outputs.
PROC REG DATA=dataset OUTVIF TABLEOUT RSQUARE OUTEST=dataset2 RIDGE=0 to 0.02 by 0.005;
MODEL y1 = x1 x2 ... xn / VIF DW;
WHERE x1='value';
RUN;
QUIT;