This　paper　considers　the　problem　of　variable　selection　in　high-dimensional　partially　linear　models.　By　combining　spline　method　and　Dantzig　selector　or　Lasso,　the　authors　simultaneously　select　variables　and　estimate　parameters.　The　simulation　results　show　that　the　proposed　methods　are　better　than　the　existing　method　when　the　dimension　of　parameters　is　much　larger　than　the　number　of　observation.