Hi,
I constructed a D-optimal design for 6 continuous variables, each at
three levels. I have 31 runs. My initial model includes, all the main
effects, all interactions and polynomial terms. I was only able to
remove 3 of the terms using step wise regression, My final model has an
R square of 0.9954, which looks very artificial. My adjusted R square
is also very close to R Square. Does anyone have any suggestion on what
could have gone wrong or if there is a different analysis technique
that I can use?
I even did a lack of fit test, and the interaction terms and square
terms were significant. I'll appreciate any help in this regard. Thanks
for your help!
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