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 high-dimensional settingsdue to the presence of weak predictorsand an initial dimension reduction (targeting) step is required.