Summarizing Constrained Centre and Range Method Fits

summary method for class ccrm.

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

Arguments

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

Value

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

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

Lima Neto, E.A. and De Carvalho, F.A.T. (2010). Constrained linear regression models for symbolic interval-valued variables. Computational Statistics and Data Analysis, 54, 333--347.

See also

ccrm

Examples

##-- Continuing the  ccrm() example:
data("Cardiological.CR", package = "iRegression")
ex.ccrm <- ccrm(PulseC~SystC+DiastC,PulseR~SystR+DiastR,data=Cardiological.CR)
ex.sum <- summary(ex.ccrm)
ex.sum
#> Call:
#> ccrm.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) 17.9555967 9.8768339
#> SystR        0.0000000 0.2170296
#> DiastR       0.2072155 0.4563253
#> 
#> RMSE.L:
#> [1] 9.732297
#> 
#> RMSE.U:
#> [1] 9.173425