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Thank you Michiel, that's very clear. I really appreciate your prompt and helpful reply.

Hi,

I noticed something I couldn't explain when running code, and hoped I could get some collective advice on it. I ran the following code to generate a d-efficient design:

Design
;alts = alt1, alt2
;rows = 120
;eff = (mnl,d)
;block = 10

;model:
U(alt1) = b1.dummy[-0.03|-0.02|-0.01] * A[3 ...

Excellent. I will try that. I will contact you offline to discuss.

Thanks again,
Richard

Thanks Michiel - that's really helpful. I appreciate the prompt reply.

I wondered about the candidate option, and had a look at the numbers. If I am calculating correctly, there are 5^9 x 4 possible profiles, meaning (5^18 x 4^2) possible choice sets. Of these, I tried to work out how many had the ...

Hi,

I have an experiment where we want to have a fixed number of attributes differing in each choice set (so nine dimensions with either four or five levels, and we want four to differ in each choice set). We also need to be able to estimate a large number of two factor interactions between each ...