In　this　paper,　a　partially　linear　single-index　model　is　investigated,　and　three　empirical　log-likelihood　ratio　statistics　for　the　unknown　parameters　in　the　model　are　suggested.　It　is　proved　that　the　proposed　statistics　are　asymptotically　standard　chi-square　under　some　suitable　conditions,　and　hence　can　be　used　to　construct　the　confidence　regions　of　the　parameters.　Our　methods　can　also　deal　with　the　confidence　region　construction　for　the　index　in　the　pure　single-index　model.　A　simulation　study　indicates　that,　in　terms　of　coverage　probabilities　and　average　areas　of　the　confidence　regions,　the　proposed　methods　perform　better　than　the　least-squares　method.