In　this　paper,　we　consider　the　statistical　inference　for　the　partially　liner　varying　coefficient　model　with　measurement　error　in　the　nonparametric　part　when　some　prior　information　about　the　parametric　part　is　available.　The　prior　information　is　expressed　in　the　form　of　exact　linear　restrictions.　Two　types　of　local　bias-corrected　restricted　profile　least　squares　estimators　of　the　parametric　component　and　nonparametric　component　are　conducted,　and　their　asymptotic　properties　are　also　studied　under　some　regularity　conditions.　Moreover,　we　compare　the　efficiency　of　the　two　kinds　of　parameter　estimators　under　the　criterion　of　Loa(0)...ner　ordering.　Finally,　we　develop　a　linear　hypothesis　test　for　the　parametric　component.　Some　simulation　studies　are　conducted　to　examine　the　finite　sample　performance　for　the　proposed　method.　A　real　dataset　is　analyzed　for　illustration.