| pmodel.response {plm} | R Documentation | 
pmodel.response has several methods to conveniently extract the response of several objects.
pmodel.response(object, ...)
## S3 method for class 'data.frame'
pmodel.response(object,
                                     model = c("pooling","within","Between",
                                               "between","mean","random","fd"),
                                    effect = c("individual","time","twoways"),
                                    lhs = NULL,
                                    theta = NULL, ...)
## S3 method for class 'pFormula'
pmodel.response(object, data,
                                   model = c("pooling","within","Between",
                                             "between","mean","random","fd"),
                                   effect = c("individual","time","twoways"),
                                   lhs = NULL,
                                   theta = NULL, ...)
## S3 method for class 'plm'
pmodel.response(object, ...)
object | 
 an object of class   | 
data | 
 a   | 
effect | 
 the effects introduced in the model, one of
  | 
model | 
 one of   | 
theta | 
 the parameter for the transformation if   | 
lhs | 
 ,  | 
... | 
 further arguments.  | 
The model response is extracted (from a data.frame, a pFormula or a plm object, and the transformation
specified by effect and model is applied to it. 
A numeric vector.
Yves Croissant