kinn (version 0.2)

kinn.train: Builds kinn regression model

Description

Builds kinn regression model

Usage

kinn.train(f, data, pre.process = T)

Arguments

f

formula in the form y~x1+x2+...

data

dataframe which contains training data

pre.process

boolean flag which cluster data by density distributions

Value

kinn model object

Examples

library(kinn)
x<-runif(100,min = 0,max=10)
e<-rnorm(100)
y<-2*x+3+e
df<-data.frame(x,y)
model=kinn.train("y~x",df)