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onls (version 0.1-2)
Orthogonal Nonlinear Least-Squares Regression
Description
Fits two-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting.
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Version
Version
0.1-2
0.1-1
0.1-0
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Install
install.packages('onls')
Monthly Downloads
218
Version
0.1-2
License
GPL (>= 2)
Maintainer
Andrej-Nikolai Spiess
Last Published
October 31st, 2022
Functions in onls (0.1-2)
Search functions
confint.onls
Confidence intervals for 'onls' model parameters
deviance_o
Deviance of the orthogonal residuals
NIST
Complicated nonlinear models from the NIST database
print.onls
Printing function for 'onls' objects
check_o
Check the fit for orthogonality of all points
onls
Orthogonal Nonlinear Least-Squares Regression
summary.onls
Summary function for 'onls' objects
residuals_o
The orthogonal residuals
logLik_o
Log-Likelihood for the orthogonal residuals
plot.onls
Plotting function for 'onls' objects
x0
x0/y0-values from orthogonal nonlinear least squares regression