Description Usage Arguments Value See Also
blm
is used to fit linear models using basis functions such as
Radial Basis Functions (RBFs) and Polynomial Basis Functions.
1 |
x |
The observations. |
y |
The response. |
basis |
Basis function object e.g. |
lambda |
Optional parameter for performing penalized least squares. |
return.all |
Optional logical, indicating if all the metrics should be computed (mainly for efficiency). |
An object of class "blm" is a list containing the following components:
coefficients
a named vector of coefficients.
residuals
the residuals, that is response minus fitted values.
fitted.values
the fitted mean values.
df.residuals
the residual degrees of freedom.
sigma
the standard deviation of the residuals.
vcov
The covariance matrix.
basis
The basis object used.
lambda
The regularization parameter.
call
the matched call.
predict.blm
, polynomial.object
,
rbf.object
, summary.blm
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