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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