Hi, I wish there are three improvements in SAS could be made in future. One is about large scale optimization problem, especially for the non-linear optimization problems. The second is about generalized linear mixed models. The SAS procedure NLMIXED is not efficient enough and tends not to converge to obtain the valid estimate of parameters. The last one is about Markov Chain Monte Carlo. This is an attractive but tricky technique. I know there are some improvements on the proc MCMC in SAS 9.3, but I wish this proc will be more efficient in the future versions.