# Functions for Nonlinear Least Squares Solutions - Updated 2022

## Documentation for package ‘nlsr’ version 2023.8.31

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

codeDeriv | nlsDeriv Functions to take symbolic derivatives.
coef.nlsr | coef.nlsr
fitted.nlsr | fitted.nlsr
fnDeriv | nlsDeriv Functions to take symbolic derivatives.
jaback | jaback
jacentral | jacentral
jafwd | jafwd
jand | jand
model2rjfun | model2rjfun
model2ssgrfun | model2rjfun
modelexpr | model2rjfun
nlfb | nlfb: nonlinear least squares modeling by functions
nlsDeriv | nlsDeriv Functions to take symbolic derivatives.
nlsr | nlsr function
nlsr.control | nlsr.control
nlsr.package | nlsr-package Tools for solving nonlinear least squares problems The package provides some tools related to using the Nash variant of Marquardt's algorithm for nonlinear least squares. Jacobians can usually be developed by automatic or symbolic derivatives.
nlsrSS | nlsrSS - solve selfStart nonlinear least squares with nlsr package
nlxb | nlxb: nonlinear least squares modeling by formula
numericDerivR | numericDerivR: numerically evaluates the gradient of an expression. All in R
nvec | nvec
pctrl | pctrl
pnls | pnls
pnlslm | pnlslm
predict.nlsr | predict.nlsr
print.nlsr | print.nlsr
prt | prt
pshort | pshort
rawres | rawres
resgr | resgr
resid.nlsr | resid.nlsr
residuals.nlsr | residuals.nlsr
resss | resss
SSlogisJN | Alternative self start for three-parameter logistic function SSlogis
SSmod2rjfun | model2rjfun
summary.nlsr | summary.nlsr
wrapnlsr | wrapnlsr