Residual mean square

In statistics, the residual mean square is defined as


 * $$\mathrm{RMS} = \frac\mathrm{WRSS} \mathrm{df}$$

where df is the degree of freedom. In many simple cases, df = N &minus; γ where N is the number of discrete data points fitted and γ is the number of identifiable and independently fitted parameters.