Orthogonal Nonlinear Least-Squares Regression
Check the fit for orthogonality of all points
Confidence intervals for 'onls' model parameters
Deviance of the orthogonal residuals
Log-Likelihood for the orthogonal residuals
Complicated nonlinear models from the NIST database
Orthogonal Nonlinear Least-Squares Regression
Plotting function for 'onls' objects
Printing function for 'onls' objects
The orthogonal residuals
Summary function for 'onls' objects
x0/y0-values from orthogonal nonlinear least squares regression
Fits two-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting. Delivers the same results as the 'ODRPACK' Fortran implementation described in Boggs et al. (1989) <doi:10.1145/76909.76913>, but is implemented in pure R.