This function does simple linear algebra to calculate f-statistics for each row of a data matrix comparing the nested models defined by the design matrices for the alternative (mod) and and null (mod0) cases. The columns of mod0 must be a subset of the columns of mod.

1 | ```
fstats(dat, mod, mod0)
``` |

`dat` |
The transformed data matrix with the variables in rows and samples in columns |

`mod` |
The model matrix being used to fit the data |

`mod0` |
The null model being compared when fitting the data |

fstats A vector of F-statistics one for each row of dat.

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