The mda package has no facilities for missing data.
Users are expected to supply "clean" data; i.e. any
missing value treatment should take place before using
any of the routines in the package.

In particular, our version of the mars function takes 
inputs x and y, which are assumed to have no missing values.

The "spam" data were used to demonstrate mars in
"Elements of Statistical Learning" 
The spam data has no missing values, and can be obtained from
http://www-stat.stanford.edu/~tibs/ElemStatLearn/

Trevor Hastie
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  Trevor Hastie                                  hastie@stanford.edu  
  Professor, Department of Statistics, Stanford University
  Phone: (650) 725-2231 (Statistics)        Fax: (650) 725-8977  
    (650) 498-5233 (Biostatistics)   Fax: (650) 725-6951
  URL: http://www-stat.stanford.edu/~hastie  
  address: room 104, Department of Statistics, Sequoia Hall
           390 Serra Mall, Stanford University, CA 94305-4065  
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