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Is it possible and valid to generate a response surface through augmentation of a fractionated factorial design, where all main effects and two factor interactions have no bias from any other main effects or two factor interactions (a resolution V design)?

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    $\begingroup$ This is a little short for a question? Why do you think there would be a problem? $\endgroup$ – kjetil b halvorsen Mar 5 '16 at 13:45
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    $\begingroup$ Could you explain how this differs from your previous question? $\endgroup$ – whuber Mar 5 '16 at 16:06
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    $\begingroup$ It would help others looking at this site to say a bit about what a "resolution V design" is, to describe the type of underlying subject-matter question you are trying to solve, and the problems that you fear will arise in your proposed approach. $\endgroup$ – EdM Mar 5 '16 at 16:30
  • $\begingroup$ There was a problem with the site and I had a response saying the question had been deleted (?). My issue is around what information could be lost, is there a higher likelihood of lack of fit, model fitting not always leading to good prediction. I am not a statistician, but I know some basics. $\endgroup$ – Beerhunter Mar 5 '16 at 20:19
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    $\begingroup$ Well, yes; that's quite standard: see e.g. itl.nist.gov/div898/handbook/pri/section3/pri3364.htm $\endgroup$ – Scortchi Mar 7 '16 at 21:51

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