RMS is an operator that modifies the variance and the
coordinates or distances of a submodel $\phi$ by
$$C(h) = v * phi(A*h/s).$$
Most users will never call RMS directly, see the
details.
Usage
RMS(phi, var, scale, Aniso, proj, anisoT)
Arguments
phi
submodel
var
is the optional variance parameter $v$,
scale
scaling parameter $s$ which is positive
Aniso
the optional anisotropy matrix $A$, multiplied from
the left, or an arbitrary function
proj
is the optional projection vector which defines a diagonal
matrix of zeros and ones and proj gives the
positions of the ones (integer values between 1 and teh dimension of
$x$).
anisoT
the transpose of the anisotropy matrix $A$, multiplied from the right