A Singular Value Decomposition (SVD) technique has been used to investigate the resolvability and reliability of rock property parameters from linearized inversions of multicomponent pre-stack reflection seismic data. Resolution maps of rock property parameters have been generated and plotted as functions of maximum incident angle and background shear-to-compressional wave velocity ratio for different components of the seismic data: pure compressional wave PP, compressional-to-shear converted wave PSv, and pure shear wave SvSv. The sensitivity to noises of each parameter has been illustrated by the variation of the resolution matrix with the damping factor used in the SVD. Our analyses have shown that Pand S-impedance can be resolved reliably from separate inversions of PP and PSv (or SvSv) data, respectively. The S-impedance from PP data is much more sensitive to noises than that from PSv (or SvSv). Density should be able to be resolved reliably from SvSv data. Density from either PP or PSv data is likely to be unreliable on real seismic data. In order to resolve velocity and density or Lame constants and density reliably, joint inversion of PP with PSv and SvSv, especially with the inclusion of SvSv data, is needed.