[R] gss package - predict.ssanova

[José Ernesto Jardim]

Chong Gu wrote:

>    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.

Thanks

I'll take a look at what you're saying.

Tomorrow there will be news :-)

Regards

EJ

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