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.
usl.solve.nlxb(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.
A list containing three elements: the scale.factor of the model, the model coefficients sigma and kappa.
John C. Nash. nlsr: Functions for nonlinear least squares solutions, 2017. R package version 2017.6.18.