Dear All,
Could any one tell me the difference between SSerr (Sum of Squares error)
differs from other gstat krige.cv cross validation diagnostic measures such
as mean error (ME), root of means square error (RMSE) and means square
deviation error (MSDR) of residual to kriging variance?

is SSerr appropriate statistics for validating a model? Is SSerr means sum
of squares of difference between actual values and predicted values of
fitted model? in MSDR, what is difference between residual and kriging
variance? formula for computing the kriging variance.

Thanks
Moshood

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