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Hello list, I'm trying to fit a model like beta[trt]/(1+alpha*x) where the data include some grouping factor. The problem is that the estimate for alpha is undefined for some of the treatments - any value greater than 20 is equally good and a step function would suffice. Ignoring the grouping structure, I can fit this using nls with the port algorithm by restricting the upper value of alpha