Summarizing Centre and Range Method Fits

summary method for class crm.

# S3 method for crm
summary(object, ...)

Arguments

object	an object of class "crm", usually, a result of a call to crm.
…	other arguments.

Value

The function summary.crm returns the following elements, given an object of the class "crm",

Coef.C

a named vector of coefficients for the Centre explanatory variables.

Coef.R

a named vector of coefficients for the Range explanatory variables.

RMSE.l

root mean square error for the lower bound.

RMSE.u

root mean square error for the upper bound.

References

Billard, L. and Diday, E. (2000) Regression analysis for interval-valued data. Data Analysis, Classification and Related Methods: Proceedings of the Seventh Conference of the International Federation of Classification Societies, Springer-Verlag, pp. 369-374.

Lima Neto, E.A. and De Carvalho, F.A.T. (2008). Centre and range method to fitting a linear regression model on symbolic interval data. Computational Statistics and Data Analysis, 52, 1500--1515.

See also

crm

Examples

##-- Continuing the  crm() example:
data("Cardiological.CR", package = "iRegression")
ex.crm <- crm(PulseC~SystC+DiastC,PulseR~SystR+DiastR,data=Cardiological.CR)
ex.sum <- summary(ex.crm)
ex.sum
#> Call:
#> crm.formula(formula1 = PulseC ~ SystC + DiastC, formula2 = PulseR ~ 
#>     SystR + DiastR, data = Cardiological.CR)
#> 
#>             Estimate.C   StdErr.C
#> (Intercept) 21.1708061 18.4290175
#> SystC        0.3288879  0.1074485
#> DiastC       0.1698512  0.1327378
#> 
#>             Estimate.R  StdErr.R
#> (Intercept) 20.2149263 9.5906587
#> SystR       -0.1466956 0.2107413
#> DiastR       0.3480081 0.4431036
#> 
#> RMSE.L:
#> [1] 9.809645
#> 
#> RMSE.U:
#> [1] 8.94141