# Mixed Model: Ridge Regression and Data Augmentation

Supposed I have a mixed model in the form: $$y = X\beta + Zu+ \varepsilon$$

If I want to enforce a constraint on the $$\beta$$s can I follow the data augmentation approach that @whuber mentioned here: How to apply a soft coefficient constraint to an OLS regression?? What is the best way to enforce coefficient constraints through data augmentation for a linear mixed model?