CARRoT (version 3.0.2)

get_predictions_lin: Predictions for linear regression

Description

Function which runs a linear regression on a training set, computes predictions for the test set

Usage

get_predictions_lin(trset,testset,outc,k,n_tr,p,Rsq,Rsq_v,marg)

Value

An array of continous variables of the length equal to the size of a testset

Arguments

trset

values of predictors on the training set

testset

values of predictors on the test set

outc

values of predictors on the training set

k

length of the test set

n_tr

size of the training set

p

weight of the model

Rsq

whether the R-squared statistics constraint is introduced

Rsq_v

value of R-squared statistics on the training spli of the data

marg

margin of error for R-squared statistics constraint

See Also

Function uses function lsfit and coef

Examples

trset<-matrix(c(rnorm(90,2,4),runif(90,0,0.5),rbinom(90,1,0.5)),ncol=3)

testset<-matrix(c(rnorm(10,2,4),runif(10,0,0.5),rbinom(10,1,0.5)),ncol=3)

get_predictions_lin(trset,testset,runif(90,0,1),10)