the first way to add uncertainty in the average is to use the theta table with cv in %. divide by 100 and take the square. This will be an estimate of the variance in the log-domaine but without taing into account the correlation between V and Cl. With this method, you need to sue the default log-normal for parameters
If you use the table called thetacovariance, it has the variance and covariance uncertainty in terms of a variance covariance. Here you need to use the normal assumption for your parameters as this var covar is not in the log-domain.
You can create any simulation template with the dosing regimen you want and then use your best estimate you got from the original fit and use either one of the 2 tecniques I suggested above to simulate the uncertainty about your average profile. I am trying to send you the project but it does not work