usl.solve.nlxb {usl} | 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
[Package usl version 3.0.3 Index]