summary method for class "dblm"
# S3 method for dblm
summary(object,...)A list of class summary.dblm containing the following components:
the residuals (response minus fitted values).
the residual standard error.
the coefficient of determination R2.
adjusted R-squared.
the residual degrees of freedom.
the matched call.
weighted geometric variability of the squared distance matrix.
diagonal entries in weighted inner products matrix G.
method used to decide the effective rank.
integer between 1 and the number of observations minus one.
Number of Euclidean coordinates used for model fitting. Applies only
if method="eff.rank".
relative geometric variability (real between 0 and 1). Take the
lowest effective rank with a relative geometric variability higher
or equal to rel.gvar. Default value (rel.gvar=0.95)
uses a 95% of the total variability.
Applies only rel.gvar if method="rel.gvar".
value of criterion defined in method.
an object of class dblm. Result of dblm.
arguments passed to or from other methods to the low level.
Boj, Eva <evaboj@ub.edu>, Caballe, Adria <adria.caballe@upc.edu>, Delicado, Pedro <pedro.delicado@upc.edu> and Fortiana, Josep <fortiana@ub.edu>
Boj E, Delicado P, Fortiana J (2010). Distance-based local linear regression for functional predictors. Computational Statistics and Data Analysis 54, 429-437.
Boj E, Grane A, Fortiana J, Claramunt MM (2007). Selection of predictors in distance-based regression. Communications in Statistics B - Simulation and Computation 36, 87-98.
Cuadras CM, Arenas C, Fortiana J (1996). Some computational aspects of a distance-based model for prediction. Communications in Statistics B - Simulation and Computation 25, 593-609.
Cuadras C, Arenas C (1990). A distance-based regression model for prediction with mixed data. Communications in Statistics A - Theory and Methods 19, 2261-2279.
Cuadras CM (1989). Distance analysis in discrimination and classification using both continuous and categorical variables. In: Y. Dodge (ed.), Statistical Data Analysis and Inference. Amsterdam, The Netherlands: North-Holland Publishing Co., pp. 459-473.
dblm for distance-based linear models.