usl.solve.nlxb: Solve a USL model using non linear regression
In usl: Analyze System Scalability with the Universal Scalability Law
usl.solve.nlxb 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 nlxb from the nlsr
package to perform the calculation.
Usage
usl.solve.nlxb(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.
References
John C. Nash. nlsr: Functions for nonlinear least squares
solutions, 2017. R package version 2017.6.18.
See Also
usl
usl documentation built on Aug. 29, 2022, 1:06 a.m.
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| usl.solve.nlxb | 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 nlxb from the nlsr
package to perform the calculation.
Usage
usl.solve.nlxb(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.
References
John C. Nash. nlsr: Functions for nonlinear least squares solutions, 2017. R package version 2017.6.18.
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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