C　In　this　paper,　we　consider　the　empirical　likelihood　inferences　of　the　partial　functional　linear　model　with　missing　responses.　Two　empirical　log-likelihood　ratios　of　the　parameters　of　interest　are　constructed,　and　the　corresponding　maximum　empirical　likelihood　estimators　of　parameters　are　derived.　Under　some　regularity　conditions,　we　show　that　the　proposed　two　empirical　log-likelihood　ratios　are　asymptotic　standard　Chi-squared.　Thus,　the　asymptotic　results　can　be　used　to　construct　the　confidence　intervals/regions　for　the　parameters　of　interest.　We　also　establish　the　asymptotic　distribution　theory　of　corresponding　maximum　empirical　likelihood　estimators.　A　simulation　study　indicates　that　the　proposed　methods　are　comparable　in　terms　of　coverage　probabilities　and　average　lengths　of　confidence　intervals.　An　example　of　real　data　is　also　used　to　illustrate　our　proposed　methods.