Lazy Learning for Local Regression By combining constant, linear, and quadratic local models, lazy estimates the value of an unknown multivariate function on the basis of a set of possibly noisy samples of the function itself. This implementation of lazy learning automatically adjusts the bandwidth on a query-by-query basis through a leave-one-out cross-validation. Software Mauro Birattari <mbiro@ulb.ac.be> Mauro Birattari <mbiro@ulb.ac.be> and Gianluca Bontempi <gbonte@ulb.ac.be> GPL (>= 2) 2003-12-10 application/tgz http://CRAN.R-project.org/package=lazy