In　this　paper,　we　consider　the　partial　linear　model　with　the　covariables　missing　at　random.　Empirical　likelihood　ratios　for　the　regression　coefficients　and　the　baseline　function　are　investigated,　the　empirical　log-likelihood　ratios　are　proven　to　be　asymptotically　chi-squared　and　the　corresponding　confidence　regions　for　the　parameters　of　interest　are　then　constructed.　The　finite　sample　behavior　of　the　proposed　method　is　evaluated　with　simulation　and　illustrated　with　an　AIDS　clinical　trial　dataset.　Crown　Copyright　(C)　2009　Published　by　Elsevier　B.V.　All　rights　reserved.