Level: Beginner
【Presenter】
SAS Institute Japan Co., Ltd. JMP Japan Division Takumi Saruhashi
[Presentation overview]
"Prediction profile" is a function that allows you to examine changes in the Y variable when the X variable is changed from the created prediction model, and the setting of the X variable to achieve the target of the Y variable. JMP17 has been enhanced with a 'design space profile' option that helps find the X variable specification limits that meet the Y variable specification limits. Additionally, when using Predictive Profiles in Fit Model, there is a new Suppress Extrapolation tool that helps you find settings for X variables where extrapolation does not occur, a feature previously only available in JMP Pro. option is now available. In this session, we will introduce how to use these with 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.
