I have done some basic searching already, but can't find an example matching this scenario.
Suppose I wanted to run a typical full or fractional 2-level factorial DOE but there was a covariate I wanted to account for. I was expecting that I could just go to custom design and add the factors and specify one of those as a covariate. It would make the table and fill in the +1 -1 as appropriate for the manipulated factors and leave the covariate column blank. Then I would run my treatments and measure the response as well as where the covariate was at and then fill in the two columns and analyze. JMP would know I'm using a covariate and present the results appropriately pulling out the effect of the covariate first. As well as maybe some results regarding a possible covariate x factor interaction and I'd react accordingly.
This doesn't seem to be how it works though. When I try to add a covariate factor it's asking for a file. Or if I have a worksheet open with some columns filled in I could specify which column is the covariate.
What if I don't have the data yet? I just want JMP to give me the design matrix and then I'll go get the data and fill it in.
Now I know I can just generate my own matrix run it and then specify the fit after the fact and turn on sequential tests, Type 1, Type 3, etc. But that all is very manual, and if JMP has covariate stuff built in already how do I use it?