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onls (version 0.2)

Orthogonal Nonlinear Least-Squares Regression

Description

Fits n-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) , but is implemented in pure R.

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Version

Install

install.packages('onls')

Monthly Downloads

930

Version

0.2

License

GPL (>= 2)

Maintainer

Andrej-Nikolai Spiess

Last Published

September 21st, 2026

Functions in onls (0.2)

onls

Weighted Orthogonal Nonlinear Least-Squares Regression (Orthogonal Distance Regression)
x0, y0

x0/y0-values from orthogonal nonlinear least squares regression
logLik_o

Log-Likelihood for the orthogonal residuals
check_o

Check the fit for orthogonality of all points
NIST

Complicated nonlinear models from the NIST database
residuals_o

The orthogonal residuals
confint.onls

Bootstrapped confidence intervals for 'onls' model parameters
plot.onls

Plotting function for 'onls' objects
summary.onls

Summary function for 'onls' objects
deviance_o

Deviance of the orthogonal residuals
print.onls

Printing function for 'onls' objects