Planar area can be predicted based on sampling by a lattice of figures
u*Lambda+L+F.
The function latscale
computes the scaling parameter u such
that the prediction coefficient of error is equal to a given value.
1 2 
x 
the lattice of figures as a 
A 
a (rough) estimate of the mean area. 
shape 
a (rough) estimate of the shape parameter B/sqrt(A) where B is the mean perimeter. 
CE.n 
the given value of the prediction coefficient of error. 
lower 
the lower point of the interval where the scaling
parameter is to be searched. Argument of the function

upper 
the upper point of the interval where the scaling
parameter is to be searched. Argument of the function

maxiter 
other argument passed to the function 
tol 
other argument passed to the function

L 
an integer, the criterion for stopping summation of the Epstein Zeta function. Default: 3. 
only.root 
a Boolean controlling the returned value, see
below. Default: 
If only.root
is TRUE
, the function returns the numeric
value of the scaling parameter u.
Else, the function returns a list with four components: scale
the numeric value of u, CE
the coefficient of error
computed for u, iter
the number of iterations used,
prec
an approximate estimated precision for u.
1 
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