  We propose a component-based (CB) parametric model order reduction (pMOR)
formulation for parameterized nonlinear elliptic partial differential equations
(PDEs) based on overlapping subdomains. Our approach reads as a constrained
optimization statement that penalizes the jump at the components' interfaces
subject to the approximate satisfaction of the PDE in each local subdomain.
Furthermore, the approach relies on the decomposition of the local states into
a port component -- associated with the solution on interior boundaries -- and
a bubble component that vanishes at ports: since the bubble components are
uniquely determined by the solution value at the corresponding port, we can
recast the constrained optimization statement into an unconstrained statement,
which reads as a nonlinear least-squares problem and can be solved using the
Gauss-Newton method. We present thorough numerical investigations for a
two-dimensional neo-Hookean nonlinear mechanics problem to validate our method;
we further discuss the well-posedness of the mathematical formulation and the
\emph{a priori} error analysis for linear coercive problems.
