In　this　paper,　we　present　a　variable　selection　procedure　by　using　basis　function　approximations　and　a　partial　group　SCAD　penalty　for　semiparametric　varying　coefficient　partially　linear　models　with　longitudinal　data.　With　appropriate　selection　of　the　tuning　parameters,　we　establish　the　oracle　property　of　this　procedure.　A　simulation　study　is　undertaken　to　assess　the　finite　sample　performance　of　the　proposed　variable　selection　procedure.