LinearModelFit

LinearModelFit[m, f, x]: fits a linear model f in the variables x to the dataset m.

- m = LinearModelFit[{{2, 1}, {3, 4}, {5, 3}, {7, 6}}, x, x];
- m["BasisFunctions"]
- m["BestFit"]
- m["BestFitParameters"]
- m["DesignMatrix"]
- m["Function"]
- m["Response"]
- m["FitResiduals"]
- m = LinearModelFit[{{2, 2, 1}, {3, 2, 4}, {5, 6, 3}, {7, 9, 6}}, {Sin[x], Cos[y]}, {x, y}];
- m["BasisFunctions"]
- m["Function"]
- m = LinearModelFit[{{{1, 4}, {1, 5}, {1, 7}}, {1, 2, 3}}];
- m["BasisFunctions"]
- m["FitResiduals"]

→ LinearSolve