Dear All, seeking input (or assurance) that I am using the optFederov in AlgDesign apropriatelly... I have: require(AlgDesign) c <-seq(1,64,by=0.1) econ=9.16 ic=4.796 hill=1.217 x=5.618 eff <-econ-(ic*(c^hill/(x^hill+c^hill))) cand.list <-data.frame(c=c,eff=eff,econ=econ,ic=ic,hill=hill,x=x) my goal here is to select the values in c that are most "sensitive" to most accuratelly estimating econ, ic, hill and x. These parameters will be estimated based on the relationship eff <-econ-(ic*(c^hill/(x^hill+c^hill))) using nls. To my knowledge D optimal design is one of the ways to go, thus I have started experimenting with optFederov. My qestion is if writing the code this way is optimal (or not): optFederov(~ I(econ-(ic*(c^hill/(x^hill+c^hill)))),data=cand.list), all of your help is greatly appreciated, thanks, Andras