LOCFIT: R and S-Plus Help

data(cltrain)

Data Frame. Three variables x1, x2 and y. The latter indicates class membership.

200 observations from a 2 population model. Under population 0, x_1,i has a standard normal distribution, and x_2,i = (2-x_1,i^2+z_i)/3, where z_i is also standard normal. Under population 1, x_2,i = -(2-x_1,i^2+z_i)/3. The optimal classification regions form a checkerboard pattern, with horizontal boundary at x_2=0, vertical boundaries at x_1 = \pm \sqrt2.

This is the same model as the cltest dataset.

datasets