NIST: Complicated nonlinear models from the NIST database
In onls: Orthogonal Nonlinear Least-Squares Regression
NIST R Documentation
Complicated nonlinear models from the NIST database
Description
Fits, by onls, a few complicated nonlinear models from the NIST database (https://www.itl.nist.gov/div898/strd/nls/nls_main.shtml), i.e. 'Chwirut2', 'Gauss1', 'ENSO' and 'Rat43'.
Usage
NIST(verbose = FALSE)
Arguments
verbose
logical. If TRUE, the onls output is printed to the console.
Value
Output of the models
Author(s)
Andrej-Nikolai Spiess
Examples
NIST()
onls documentation built on Sept. 21, 2026, 9:06 a.m.
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| NIST | R Documentation |
Complicated nonlinear models from the NIST database
Description
Fits, by onls, a few complicated nonlinear models from the NIST database (https://www.itl.nist.gov/div898/strd/nls/nls_main.shtml), i.e. 'Chwirut2', 'Gauss1', 'ENSO' and 'Rat43'.
Usage
NIST(verbose = FALSE)
Arguments
verbose |
logical. If |
Value
Output of the models
Author(s)
Andrej-Nikolai Spiess
Examples
NIST()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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