  We present a standalone implementation of a data-deconvolution method based
on singular value decomposition. The tool is written in python and packaged in
the open-source yonder package. yonder receives as input two matrices, one for
the data and another for the errors, and outputs a denoised version of the
original dataset. In this Research Note, we briefly describe the methodology
and show a demonstration of the yonder on a simulated dataset.
