# summary.bivar: Summarizing Bivariate Symbolic Regression Method Fits In iRegression: Regression Methods for Interval-Valued Variables

## Description

`summary` method for class `bivar`.

## Usage

 ```1 2``` ```## S3 method for class 'bivar' summary(object, ...) ```

## Arguments

 `object` an object of class "`bivar`", usually, a result of a call to `bivar`

.

 `...` other arguments.

## Value

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

 `Coefficients1` a named vector of coefficients for the explanatory variables of the model "1". `Coefficients2` a named vector of coefficients for the explanatory variables of the model "2". `RMSE1` root mean square error for the model "1". `RMSE2` root mean square error for the model "2". `Rho` the estimative for the correlation coefficient between Y1 and Y2. `Phi` the estimative of the dispersion parameter. `D` the goodness-of-fit measure deviance for the current model.

## References

Lima Neto, E. A., Cordeiro, G. and De Carvalho, F.A.T. (2011). Bivariate symbolic regression models for interval-valued variables. Journal of Statistical Computation and Simulation (Print), 81, 1727–1744.

`bivar`
 ```1 2 3 4 5``` ```##-- Continuing the bivar() example: data("soccer.bivar", package = "iRegression") ex.bivar <- bivar(yMin~t1Min+t2Min, "identity", yMax~t1Max+t2Max, "identity", data=soccer.bivar) ex.sum <- summary(ex.bivar) ex.sum ```