Hey @cwillden, I think you are on to the issue. I believe it has to do with the number of parameters compared to the number of rows in the candidate set. I tried a model with fewer parameters than rows and it created a design with 30 runs. So, the total number of runs exceeded the number of rows in my candidate set but the number of parameters was less than the number of rows. I also believe it is a bug.
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I get the following JMP alert when trying to build a DOE with covariate factors, "Insufficient number of covariate runs to fit all model terms.". I think I understand what this means but am confused as to why I am getting the alert. I have two covariate factors. There are 17 values to select from in the candidate set. The covariate factors are hard to change. I have three easy to change process factors. Two of the process factors are continuous and one is a two-level categorical. I am designing for a model with linear, interaction and quadratic terms. I am asking for 10 whole plots with a total of 30 runs. I have attempted using fewer and more whole plots and get the same alert. There is very little correlation between the two covariate factors in the candidate set and it has plenty of levels to support the non-linear terms. Has anyone experienced getting this alert and know the issue causing it to occur? Thanks.
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