After running NLME model, we can check parameter estimate in FittedPumasModel.

```
res = fit(mymodel,data,param,Pumas.FOCEI())
julia> res
FittedPumasModel
Successful minimization: true
Likelihood approximation: Pumas.FOCEI
Deviance: 19603.855
Total number of observation records: 1728
Number of active observation records: 1728
Number of subjects: 24
---------------------
Estimate
---------------------
tvcl 0.96561
tvv 19.944
tvka 0.9818
Ξ©β,β 0.05888
Ξ©β,β 0.063136
Ξ©β,β 0.16558
Ο_prop 0.042221
---------------------
```

Is there a way to get the parameter estimate as a dataframe?