Slots
coefficients:- numeric vector of coefficients with
respect to the original input. Contains the intercept if the model
owns any.
alpha:- numeric scalar.
gamma:- numeric scalar.
normx:- Vector (class
"numeric") containing the
square root of the sum of squares of each column of the design
matrix. residuals:- Vector of residuals.
r.squared:- scalar giving the
coefficient of determination.
fitted:- Vector of fitted values.
monitoring:- List (class
"list") which
contains various indicators dealing with the optimization
process. intercept:- Logical which indicates if a intercept is
included in the model.
Methods
This class comes with the usual predict(object, newx, ...),
fitted(object, ...), residuals(object, ...), coefficients(object, ...),
print(object, ...) and show(object) generic (undocumented) methods.