Level: Beginner
【Presenter】
SAS Institute Japan JMP Japan Division Takumi Saruhashi
[Presentation summary]
"Prediction Profile" is a function that allows you to examine the changes in the Y variable when the X variable is changed, as well as the settings of the X variable to achieve the target of the Y variable, from the created prediction model. JMP17 has been enhanced with the addition of a "Design Space Profile" option that is useful for finding the specification limits for the X variable that satisfy the specification limits for the Y variable. In addition, when using Prediction Profile in Fit Model, you can also use the Suppress Extrapolation feature, which was previously only available in JMP Pro, and is useful for finding X variable settings that do not cause extrapolation. ' option is now available. In this session, we will introduce how to use these tools, including a demonstration of JMP.
[Presenter profile]
As a system engineer, I am mainly in charge of customers in the manufacturing and chemical industries in western Japan.
[video]
