What are the disadvantages of using elastic net in comparison to lasso. I know that the elastic net is able to select groups of variables when they are highly correlated.
It doesn't have the problem of selecting more than $n$ predictors when $p \gg n$. Whereas lasso saturates when $p \gg n$.
When there are highly correlated predictors lasso tends to just pick one predictor out of the group.
When $n \gg p$ and the predictors are correlated, the prediction performance of lasso is smaller than that of ridge.
All these disadvantages of lasso are overcome by the elasic net.
What I don't understand is when should the lasso be then used? Is there any reason to use it when the elastic net performs better than lasso? What are the disadvantages of using elastic net in some cases? In which cases would the lasso be a better choice?