Exact uniformly most powerful postselection confidence distributions

A conditioning on the event of having selected one model from a set possibly misspecified normal linear regression models, leads to construction uniformly optimal conditional confidence distributions. They can be used for valid post-selection inference. The constructed distributions are finite sample exact and encompass all information regarding focus parameter in model. This includes intervals at significance levels most powerful hypothesis tests.