We establish estimation and model selection consistency, prediction
and estimation bounds and persistence for the group-lasso estimator
and model selector proposed by Yuan and Lin (2006) for least squares
problems when the covariates have a natural grouping structure. We
consider the case of a fixed-dimensional parameter space with
increasing sample size and the double asymptotic scenario where the
model complexity changes with the sample size.