ANewton-type method for the eigenvalue problem of analytic matrix functions is described and analysed. The method finds the eigenvalue and eigenvector, respectively, as a point in the level set of the smallest singular value function and the corresponding right singular vector. The algorithmic aspects are discussed and illustrated by numerical examples.