Due to an error in preparing the design for a CBC exercise, I mistankely prohibited the appearance of one level of attribute to all brands, instead of excluding it from the exercise altogether. After data collection, I ran HB analysis for estimates and received the warning that the design was deficient and would not converge.
The result of the estimate showed an average RLH 0.604, which I consider rather high to the kind of data collected.
Is there any way to know if the estimates are really unreliable, due to the design being possibly deficient? Is there any way to treat the data post collection so it could make the data converge?