Modeling and Multivariate Methods - SAS

Chapter 9 Performing Nonlinear Regression 253
Nonlinear Fitting with Fit Curve
Make Parameter Table Saves the parameter estimates, standard errors, and t-ratios in a data table. This
option is available only when a Group variable is specified on the platform launch window. With this
data table, you can cluster groups based on parameter estimates.
Profiler Shows or hides a profiler of the fitted prediction function. The derivatives are derivatives of the
prediction function with respect to the X variable. For more information about profilers, see the
“Visualizing, Optimizing, and Simulating Response Surfaces” chapter on page 553.
Save Formulas Contains options for saving prediction and derivative equations as formula columns in
the data table.
Save Prediction Formula saves the prediction equation.
Save Std Error of Predicted saves the standard error of the predicted values.
Save Parametric Prediction Formula saves the prediction equation with parameters. This is helpful if
you want to use the fitted model in the full, interactive personality of the Nonlinear platform.
Save First Derivative saves the derivative of the prediction function with respect to the X variable.
Save Std Error of First Derivative saves the equation of the standard error of the first derivative.
Save Inverse Prediction Formula saves the equation for predicting X from Y.
Custom Inverse Prediction Predicts an X value for a specific Y value. For more information about
inverse prediction, see “Inverse Prediction with Confidence Limits” on page 686.
Remove Fit Removes the model report, the entry from the Model Comparison report, and the fitted line
from the plot.
Test Parallelism
The Test Parallelism option provides an analysis for testing if the fitted models between groups have the
same shape. See Figure 9.7.