In　this　paper,　empirical　likelihood　inferences　for　semiparametric　varying-coefficient　partially　linear　error-in-variables　models　with　longitudinal　data　are　investigated.　By　correcting　the　attenuation,　we　propose　a　corrected　empirical　likelihood　ratio　function　for　the　parametric　components　and　a　residual-adjusted　empirical　likelihood　ratio　function　for　the　nonparametric　components.　Wilks＇　phenomenon　is　proved　and　the　confidence　regions　for　parametric　components　and　nonparametric　components　are　constructed.　A　simulation　study　is　undertaken　to　assess　the　finite　sample　performance　of　the　proposed　confidence　regions.