Overview
CurveFit finds the least-squares best fit between observed data and a user-supplied function.
- Weight individual observations and model multiple dependent variables.
- Run bootstrap estimation and visualize bootstrapped coefficients.
- Create profile t and profile-likelihood trace plots.
- Choose Levenberg-Marquardt or Polak-Ribiere conjugate-gradient descent.
- Compute heteroskedasticity-consistent coefficient covariance estimates.
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The documentation includes current capabilities, commands, installation guidance, and examples where available.