Shows or hides a purple triangle whose height and direction correspond to the value of the partial derivative of the profile function at its current value (see Sensitivity Indicators). This is useful in large profiles to be able to quickly spot the sensitive cells.

Shows or hides the desirability functions. Desirability is discussed in Desirability Profiling and Optimization.

Displays a window for each factor allowing you to enter a specific value for the factor’s current setting, to lock that setting, and to control aspects of the grid. See the section Setting or Locking a Factor’s Values for details.

Then enter ProfileCallbackLog in the Set Script dialog.

The prime reason to make uniform random factor tables is to explore the factor space in a multivariate way using graphical queries. This technique is called Filtered Monte Carlo.

Enables you to add, change, or delete linear constraints. The constraints are incorporated into the operation of Prediction Profiler. See Linear Constraints.

Enables you to save existing linear constraints to a table script called Constraint. SeeLinear Constraints.

Launches the Simulator. The Simulator enables you to create Monte Carlo simulations using random noise added to factors and predictions for the model. A typical use is to set fixed factors at their optimal settings, and uncontrolled factors and model noise to random values. You then find out the rate of responses outside the specification limits. For details see the Simulator section.