Apologies for farming out what is more of a statistics than a JMP question to the community, but here goes: I was recently asked if JMP Pro could analyze a design in which 3,000 analytes are measured in the same individuals over time (one group perhaps receiving a medicine and the other having been given a placebo). The large number of analytes is not the problem, but the fact that this is a repeated-measures design and, to my knowledge, the multivariate options under Fit Model cannot handle a repeated measures design (would be no problem if there was a single Y). If I put in "time" into the model under MANOVA or partial least squares, that doesn't accommodate the repeated measures nature. Am I correct in assuming that the optimal statistical test I want cannot be performed in JMP Pro? Maybe instead I could look at "% change in concentration of each analyte" for each individual, thereby removing time from the model, but I am open to other options!
