| plot-methods {fRegression} | R Documentation | 
Regression Model Plot Methods
Description
Plots results obtained from a fitted regression model.
Usage
## S4 method for signature 'fREG,missing'
plot(x, which = "ask", ...)
Arguments
| x | an object of class 'fREG'. | 
| which | a character string selecting which plot should be displayed.
By default  | 
| ... | additional arguments to be passed to the underlying plot functions. | 
Details
The plots are a set of graphs which are common to the regression
models implemented in the function regFit. This includes
linear regression models use="lm", 
robust linear regression models use="rlm", 
generalized linear regression models use = "glm", 
generalized additive regression models use = "gam", 
projection pursuit regression models use = "ppr", 
neural network regression models use = "nnet", and
polychotomous MARS models use = "polymars".
In addition one can also use the original plot functions of the
original models, .e.g. plot(slot(object, "fit").
Methods
- x = "ANY", y = "ANY"
- 
Generic function. 
- x = "fREG", y = "missing"
- 
Plot function to display results obtained from a fitted regression model. 
Author(s)
Diethelm Wuertz for the Rmetrics R-port.
Examples
## regSim -
   x = regSim(model = "LM3", n = 50)
  
## regFit -
   fit = regFit(Y ~ X1 + X2 + X3, data = x, use = "lm")
   
## plot -