Class of object returned by the spinyreg function.
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.
This class comes with the usual predict(object, newx, ...)
,
fitted(object, ...)
, residuals(object, ...)
, coefficients(object, ...)
,
print(object, ...)
and show(object)
generic (undocumented) methods.
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