I used a FMM model for my data with a continuous outcome variable (ordered from 0-1000 with almost 93% valued being 0) using the followng statements:  proc fmm data=training; model y = x1 x2 x3 x4/ dist=WEIBULL k=2; probmodel x1 x2 x3 x4 output out = modelone residual pred; run;   I am wondering if I can use the beta estimates created using above procedure to calculate predicted scores in the validation data. I have used this method to score estimates from other regression models. So the equation would be:   data stats; set validation; log_y = exp(intercept+b1*x1+b2*x2+b3*x3+b4*x4); y = exp(log_y);  run;   Is this a correct method to create predicted scores here? I am new to FMM procedure and after reading lot of articles, it seems to be an appropriate method for 0-inflated data. However, I am not sure how to use that further to create predicted scores and then compare against the observed/actual outcome.    Apprecite your help.   Thanks Shen  ... View more