choice-metrics.com

Thanks a lot and should the same approach for specifying non-zero priors "[0.01|0.02] * x1[1,2,0]" be done for all 5 attributes?

design
;alts = opt1*, opt2*, opt3*
? efficient design
;eff = (mnl, d)
;alg = swap
;rows = 15

;model:
U(opt1) = b1.dummy[0|0] * x1[0,1,2]
+ b2.dummy[0] * x2[0,1]
+ b3.dummy[0] * x3[0,1]
+ b4.dummy[0|0] * x4[0,1,2]
+ b5.dummy[0|0] * x5[0,1,2]
+ b6.dummy[0|0] * x6[0,1,2]
/
U(opt2) = b1 * x1
+ b2 ...