R: Summarizing distance-based linear model fits

summary.dblm {dbstats}

R Documentation

Summarizing distance-based linear model fits

Description

summary method for class "dblm"

Usage

## S3 method for class 'dblm'
summary(object,...)

Arguments

`object`	an object of class `dblm`. Result of `dblm`.
`...`	arguments passed to or from other methods to the low level.

Value

A list of class summary.dblm containing the following components:

`residuals`	the residuals (response minus fitted values).
`sigma`	the residual standard error.
`r.squared`	the coefficient of determination R2.
`adj.r.squared`	adjusted R-squared.
`rdf`	the residual degrees of freedom.
`call`	the matched call.
`gvar`	weighted geometric variability of the squared distance matrix.
`gvec`	diagonal entries in weighted inner products matrix G.
`method`	method used to decide the effective rank.
`eff.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"`.
`rel.gvar`	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"`.
`crit.value`	value of criterion defined in `method`.

Author(s)

Boj, Eva <evaboj@ub.edu>, Caballe, Adria <adria.caballe@upc.edu>, Delicado, Pedro <pedro.delicado@upc.edu> and Fortiana, Josep <fortiana@ub.edu>

References

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.