In　this　paper,　we　consider　the　semiparametric　regression　model　for　longitudinal　data.　Due　to　the　correlation　within　groups,　a　generalized　empirical　log-likelihood　ratio　statistic　for　the　unknown　parameters　in　the　model　is　suggested　by　introducing　the　working　covariance　matrix.　It　is　proved　that　the　proposed　statistic　is　asymptotically　standard　chi-squared　under　some　suitable　conditions,　and　hence　it　can　be　used　to　construct　the　confidence　regions　of　the　parameters.　A　simulation　study　is　conducted　to　compare　the　proposed　method　with　the　generalized　least　squares　method　in　terms　of　coverage　accuracy　and　average　lengths　of　the　confidence　intervals.