usl.solve.nls: Solve a USL model using non linear regression
In usl: Analyze System Scalability with the Universal Scalability Law
usl.solve.nls R Documentation
Solve a USL model using non linear regression
Description
This function solves a USL model using non linear regression with least
squares. It uses the function nls with the "port"
algorithm to perform the calculation. All restrictions of the algorithm
apply.
Usage
usl.solve.nls(model)
Arguments
model
A data frame with two columns containing the values of the
predictor variable in the first column and the values of the response
variable in the second column.
Value
A list containing three elements: the model coefficients alpha,
beta and gamma.
See Also
usl
usl documentation built on Aug. 29, 2022, 1:06 a.m.
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| usl.solve.nls | R Documentation |
Solve a USL model using non linear regression
Description
This function solves a USL model using non linear regression with least
squares. It uses the function nls with the "port"
algorithm to perform the calculation. All restrictions of the algorithm
apply.
Usage
usl.solve.nls(model)
Arguments
model |
A data frame with two columns containing the values of the predictor variable in the first column and the values of the response variable in the second column. |
Value
A list containing three elements: the model coefficients alpha, beta and gamma.
See Also
usl
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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