A1. Create sss data     Convert an object to the class 'sss' for
                        spatial smoothing splines
A2. Define linear terms
                        Linear components of the mean of the model
A3. Define unknown changes
                        Changes in the pattern of response
A4. Define bivariate Spline
                        Bivariate spline
A5. Estimate the model
                        Spatial smoothing with unknown changes in the
                        pattern of response
A6. Obtain approximation
                        Linear approximation to a spline.
B1. Testing surface     Testing the surface model
B2. Plotting            Plot observed, fitted values or estimated
                        spline from 'scp' object.
B3. Summary             Summary of the estimated model from 'scp'
                        object.
B4. Information criterion
                        Information criterion of the estimated model
                        from 'scp' object.
B5. Variogram           Compute and plot the semi-variogram from 'scp'
                        object.
landim1                 geoR's landim1 dataset
scpm-package            'An R Package for Spatial Smoothing'
sss-class               Class '"sss"'
sssFit-class            Class '"sssFit"'
