cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
Try the Materials Informatics Toolkit, which is designed to easily handle SMILES data. This and other helpful add-ins are available in the JMP® Marketplace
Choose Language Hide Translation Bar
JasonM
Level I

How do I model A -> B -> C behavior?

Hello, I was wondering if anyone else has had this problem. We have a DoE custom design for evaluating factors to optimize for product "B" over an impurity, "C." C isn't independent of B - it's a byproduct which forms only upon B forming, that is A -> B-> C. I see how in Column Info one can set independent limits for responses A and B, but is there a way to set constraints such that B + C < 100%? Thank you!

2 REPLIES 2
statman
Super User

Re: How do I model A -> B -> C behavior?

Not sure I understand completely, but here are my thoughts.  Seems you Have A > B + C?  In any case, you can add factors as mixture factors and impose linear constraints.

"All models are wrong, some are useful" G.E.P. Box
ih
Super User (Alumni) ih
Super User (Alumni)

Re: How do I model A -> B -> C behavior?

It sounds like both B and C are responses, rather than being controlled directly.  If so, then would their measured values always be less than or equal to 100%? It seems like you might not need to introduce that constraint, and you could just try to maximize B and minimize C.