A　high-dimensional　partially　linear　model　with　longitudinal　data　is　considered.　We　apply　the　SCAD　penalty　to　simultaneously　select　significant　variables　and　estimate　unknown　parameters.　Under　appropriate　assumptions,　the　resulting　estimators　have　the　Oracle　property　and　are　asymptotically　efficient.