Performs a least-squares fit of data to a linear combination of basis functions.
與 .wl 參考的差異： Symbolic `Fit` and `LinearModelFit`
Fit[data, {f1, …, fn}, {x, y, …}]
Fit[{m, v}]
Fit[…, "prop"]
Fit[{2, 4, 6}, {x}, x]
→ 2\.(0+\d*)?\*x (regex)Fit[{{1, 1}}, {1, x}, x]
→ 0\.(5(0+\d*)?|4999999999\d*) \+ 0\.(5(0+\d*)?|4999999999\d*)\*x (regex)Fit[{{1, 1}, {1, 2}}, {1, x}, x]
→ 0\.75(0+\d*)? \+ 0\.7(5(0+\d*)?|4999999999\d*)\*x (regex)Fit[{{1, 1}, {1, 2}, {1, 3}}, {1, x}, x]
→ 1\.(0+\d*)? \+ 1\.(0+\d*)?\*x (regex)- NormFunction — default Norm
- FitRegularization — default None
- WorkingPrecision — default Automatic