Before revision:  Nonetheless, it has been argued that its benefits are lessened in sparse high-dimensional settingsdue to the presence of weak predictorsand an initial dimension reduction (targeting) step prior to estimation is required.
After revision:  Nonetheless, it has been argued that its benefits are lessened in sparse settings, due to weak predictors, and a pre-estimation dimension reduction (targeting) step prior to estimation is required.