[R] gss package - predict.ssanova

[Chong Gu]

   Here is the information about this objects.

   > recs.spliney

   Call:
   ssanova(formula = recs.mds[[1]][, 2] ~ recs.loc$x * recs.loc$y,     type = "tp")

   Terms:
   [1] "1"                     "recs.loc$x"            "recs.loc$y"
   [4] "recs.loc$x:recs.loc$y"

   Number of fixed and random effects:

			 Fixed Random
   1                         1      0
   recs.loc$x                1      1
   recs.loc$y                1      1
   recs.loc$x:recs.loc$y     1      3
   total                     4      5

   Smoothing parameters are selected by GCV.

   > is.data.frame(recn.grid)
   [1] TRUE
   > names(recn.grid)
   [1] "x" "y"

   Regards

   EJ


The variables in the fit are "recs.loc$x" and "recs.loc$y", but the
variables in recn.grid are "x" and "y".

BTW, are recs.loc$x and recs.loc$y the x-y coordinate of geographic
locations?  If the answer is yes, then you probably want to enter it
as a single variable with two columns.  What you are now doing appears
to fit a tensor product spline.

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