Help to use the R functions:

To Study the Regression Model

winnls2:

Description of the windows version of nls2

input:

Description of the required input files

reference manual:

The reference manual of nls2

Graphical functions:

pldnls2:

Plot an nls2 Data Frame

plfit.nls2:

Plot an nls2 Object for Studying the Fitted Values

plit.nls2:

Plot an nls2 Object for Studying the Iterative Process

plres.nls2:

Plot an nls2 Object for Studying the Residuals

plvar.nls2:

Plot an nls2 Object for Studying the Variance Heterogeneity

Extracting functions:

coef.nls2:

Extract the Estimated Values of the Parameters from an nls2 Object

fitted.nls2:

Extract Fitted Values from an nls2 Object

residuals.nls2:

Extract Residuals from an nls2 Object

summary.nls2:

Summarize an nls2 Object

Models and Objects descriptions:

nls2.model:

Description of Non-linear Regression Models for nls2

nls2.integ.ctx:

Description of Integration Context for nls2

nls2.object:

Non-linear Regression Object Created by nls2

Methods:

all.equal.nls2:

Test Equality of nls2 Objects

print.coef.nls2:

Print an Object of Class "coef.nls2"

print.fitted.nls2:

Print an Object of Class "fitted.nls2"

print.nls2:

Print an Object of Class "nls2"

print.residuals.nls2:

Print an Object of Class "residuals.nls2"

print.summary.nls2:

Print an Object of Class "summary.nls2"