Dear all,

i try to anderstand the AlgDesign package, so i make some tests to find with
optFederoy some plan I know.
I would like to find back a simple optimal design : 7 factors with 2
attributes each ( the beter plan is 2^(7-4) and needs 8 rows)

library(AlgDesign)
levels.design = c(2,2,2,2,2,2,2)
f.design <- gen.factorial(levels.design)

# i know that
optFederov(data=f.design,nTrials=8)
# is the better

# but
optFederov(data=f.design) # 13 rows!
optFederov(data=f.design,maxIteration=1000,nRepeats=500) # 13 rows!
optFederov(data=f.design,maxIteration=1000,nRepeats=500,criterion="D")
optFederov(data=f.design,maxIteration=1000,nRepeats=500,criterion="A")
optFederov(data=f.design,maxIteration=1000,nRepeats=500,criterion="I")

optFederov always find a 13 rows results.. how can i obtain the 8 row design
( if i dont know that the better is 8) ?

Regards,

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