Newtonian fits for both datasets [A: (a)-(f), B: (g)-(l)] and optimization runs [1: (a)-(c), (g)-(i), 2: (d)-(f), (j)-(l)]. The best-fitting curves (χ_ν, best²) result to dynamically unstable configurations, while the fitting curves of the minimum and maximum reduced chi-square value (χ_ν, min², χ_ν, max²) define the χ_ν² limits among all stable configurations. The parameters of each case can be found in Table 4 and Table 5.