cltest {locfit} | R Documentation |
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 = +/- sqrt(2).
This is the same model as the cltrain dataset.
data(cltest)
Data Frame. Three variables x1, x2 and y. The latter indicates class membership.