Fits a nonlinear model to data and returns a FittedModel object
NonlinearModelFit[{{x1, y1}, {x2, y2}, …}, form, {β 1, …}, x]
NonlinearModelFit[data, form, params, {x1, …}]
NonlinearModelFit[data, {form, cons}, params, {x1, …}]
nlm = NonlinearModelFit[Range[10], Exp[a x], a, x]
→ FittedModel[<|Type -> Nonlinear, FittedExpression -> E^(0.2453197169984894*x), BestFitParameters -> {a -> 0.2453197169984894}, IndependentVariables -> {x}, VariableName -> x, BestFit -> E^(0.2453197169984894*x)|>]NonlinearModelFit[{Log[3], Log[5], Log[7], Log[9], Log[11]}, Log[a x + b], {a, b}, x]
→ FittedModel[<|Type -> Nonlinear, FittedExpression -> Log[0.9999999999999999 + 2.*x], BestFitParameters -> {a -> 2., b -> 0.9999999999999999}, IndependentVariables -> {x}, VariableName -> x, BestFit -> Log[0.9999999999999999 + 2.*x]|>]- AccuracyGoal — default Automatic
- ConfidenceLevel — default 95/100
- EvaluationMonitor — default None
- Gradient — default Automatic
- MaxIterations — default Automatic
- Method — default Automatic
- PrecisionGoal — default Automatic
- StepMonitor — default None
- VarianceEstimatorFunction — default Automatic
- Weights — default Automatic
- WorkingPrecision — default Automatic