The `rat.diet' data frame has 39 rows and 3 columns.
These are data from a study of an appetite supressant given to young rats.
The suppressant was removed from the treatment group at around 60 days.
The responses are the median food intake and  each group had approximately 
10 animals.

datasets

rat.diet

Fields is for curve, surface and function
 fitting with an emphasis on splines, spatial data and spatial statistics. The
 major methods include cubic, robust, and thin plate splines, 
 multivariate Kriging and Kriging for large data sets. One main feature is any
 covariance function implemented in R can be used for spatial prediction. 
 There are also useful functions for plotting and working with 
 spatial data as images. This package also contains an implementation of a
 sparse matrix  methods for large data sets and currently requires the 
 sparse matrix (spam) package for testing (but not for the standard spatial 
 functions.) Use help(fields) to get started and for an overview. 

rat.diet: Experiment studying an appetite supressant in rats.

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