Hello.
I have created a full factorial design with two X variables and one response value (Health as a function of your drinking and smoking habits, see enclosed files).
![11613_pastedImage_2.png 11613_pastedImage_2.png](https://community.jmp.com/t5/image/serverpage/image-id/3118i94E10B0740C945A9/image-size/medium?v=v2&px=400)
When I generate the report, the lack-of-fit test is greyed out. But why? The fitting-linear-models-pdf from the jmp-help says:
In the following situations, the Lack of Fit report does not appear because the test statistic
cannot be computed:
• There are no replicated points with respect to the X variables, so it is impossible to
calculate a pure error sum of squares.
• The model is saturated, meaning that there are as many estimated parameters as there are
observations. Such a model fits perfectly, so it is impossible to assess lack of fit.
I have 3 replicated points for every X variable and 27 observations which is a greater number than the estimated parameters. So why can't I compute the LoF-test?