In the current work, we take a more conventional sine-FT approach but focus on the uncertainties of the experimentally measured sM(s) curves and on the correlations and uncertainties in the resulting RDF. For that, we adapt the least-squared spectral analysis (LSSA), in particular the weighted LSSA (wLSSA) version, for the usage with the GED data. To enable fine grids in r-space, we apply the L2-regularization to construct the regularized wLSSA routine. A numerical demonstration of the new approach uses artificial data, emulating a real GED experiment for tetrachloromethane molecule (CCl 4 ), and also a real experimental data for acenaphthene (C 12 H 10 ). .