The MODEL Procedure


Example 26.20 Illustration of ODS Graphics

This example illustrates graphical output from PROC MODEL. This is a continuation of the section Nonlinear Regression Analysis. For information about the graphics available in the MODEL procedure, see the section ODS Graphics.

The following statements show how to generate ODS Graphics plots with the MODEL procedure. The plots are displayed in Output 26.20.1 and Output 26.20.2. Note that the variable date in the ID statement is used to define the horizontal tick mark values when appropriate.

title1 'Example of Graphical Output from PROC MODEL';

proc model data=sashelp.citimon;
   lhur = 1/(a * ip + b) + c;
   fit lhur;
   id date;
run;

Output 26.20.1: Diagnostics Plots

Diagnostics Plots


Output 26.20.2: Diagnostics Plots

Diagnostics Plots


You can also obtain the plots in the diagnostics panel as separate graphs by specifying the PLOTS(UNPACK) option. These plots are displayed in Output 26.20.3 through Output 26.20.10.

title1 'Unpacked Graphical Output from PROC MODEL';

proc model data=sashelp.citimon plots(unpack);
   lhur = 1/(a * ip + b) + c;
   fit lhur;
   id date;
run;

Output 26.20.3: Studentized Residuals Plot

Studentized Residuals Plot


Output 26.20.4: Cook’s D Plot

Cook’s D Plot


Output 26.20.5: Predicted versus Actual Plot

Predicted versus Actual Plot


Output 26.20.6: Autocorrelation of Residuals Plot

Autocorrelation of Residuals Plot


Output 26.20.7: Partial Autocorrelation of Residuals Plot

Partial Autocorrelation of Residuals Plot


Output 26.20.8: Inverse Autocorrelation of Residuals Plot

Inverse Autocorrelation of Residuals Plot


Output 26.20.9: Q-Q Plot of Residuals

Q-Q Plot of Residuals


Output 26.20.10: Histogram of Residuals

Histogram of Residuals