Hi,

I have data with negative spatial autocorrelation at short lags.  It is well
described by a spherical model, but flipped upside from what is normally
seen.  It seems that gnls will work with this correlated residual type IF
one parameter in the spherical model can be negative (it is usually
positive).  Does anyone know if this parameter is constrained to be
positive? -seth
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