  We consider the goal-oriented error estimates for a linearized iterative
solver for nonlinear partial differential equations. For the adjoint problem
and iterative solver we consider, instead of the differentiation of the primal
problem, a suitable linearization which guarantees the adjoint consistency of
the numerical scheme. We derive error estimates and develop an efficient
adaptive algorithm which balances the errors arising from the discretization
and use of iterative solvers. Several numerical examples demonstrate the
efficiency of this algorithm.
