regressionFunction {cNORM} | R Documentation

## Regression function

### Description

The method builds the regression function for the regression model, including the beta weights. It can be used to predict the raw scores based on age and location.

### Usage

    regressionFunction(model, raw = NULL, digits = NULL)

### Arguments

`model` | The regression model from the bestModel function or a cnorm object
`raw` | The name of the raw value variable (default 'raw')
`digits` | Number of digits for formatting the coefficients

### Value

The regression formula as a string

### See Also

Other model: `bestModel()`, `checkConsistency()`, `cnorm.cv()`, `derive()`, `modelSummary()`, `print.cnorm()`, `printSubset()`, `rangeCheck()`, `summary.cnorm()`

### Examples

    result <- cnorm(raw = elfe$raw, group = elfe$group)
    regressionFunction(result)

[Package cNORM version 2.0.3 Index]