

Dear R-users,

I would like to model data where the response variable consists of many minus ones and many different positive values that seem to follow an apparently separate distribution (ie. -1, -1, 0.5, -1, 3, 3.5, 1.2, -1, -1, 0.4, etc); no values of the response can be less than minus one or between minus and zero (exclusive).

I am aware of tobit regression but unaware of exactly how to implement it in R. If anyone is able to help me on this issue I'd be extremely grateful; for example, if my (continuous) explanatory variables were x1 and x2, how should I define the model?

Thank you for your time.

Pat

 		 	   		  
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