This article addresses frame multiresolution analyses (FMRAs) and FMRA frame wavelets in the setting of reducing subspaces of L^{2}(\mathbb{R}^{d}) . For a general expansive matrix, we obtain a characterization and some conditions for a frame-scaling function to generate an FMRA, and we prove that an arbitrary reducing subspace must admit an FMRA. For an expansive matrix M with |\det M|=2 , we establish a sufficient and necessary condition for FMRAs to admit a single FMRA frame wavelet, give an explicit construction of FMRA frame wavelets, and study the relation between s -frame wavelets and FMRA frame wavelets. These results are also new in the setting of L^{2}(\mathbb{R}^{d}) .