fullmodel.ssq {BMS} | R Documentation |

## OLS Statistics for the Full Model Including All Potential Covariates

### Description

A utility function for reference: Returns a list with R2 and sum of squares for the OLS model encompassing all potential covariates that are included in a bma object.

### Usage

```
fullmodel.ssq(yX.data)
```

### Arguments

`yX.data` |
a bma object (cf. |

### Value

Returns a list with some basic OLS statistics

`R2` |
The R-squared of the full model |

`ymy` |
The sum of squares of residuals of the full model |

`ypy` |
The explained sum of squares of the full model |

`yty` |
The sum of squares of the (demeaned) dependent variable |

`Fstat` |
The F-statistic of the full model |

### Note

This function is just for quick comparison; for proper OLS estimation
consider `lm`

### See Also

`bms`

for creating bma objects, `lm`

for
OLS estimation

Check http://bms.zeugner.eu for additional help.

### Examples

```
data(datafls)
mm=bms(datafls)
fullmodel.ssq(mm)
#equivalent:
fullmodel.ssq(datafls)
```

[Package

*BMS*version 0.3.5 Index]