RelimpPCR.predict: Predictor Function for RelimpPCR

In RelimpPCR: Relative Importance PCA Regression

Predictor Function for RelimpPCR

Description

This function takes the trained RelimpPCR object and proceeds to perform a prediction from the best model (as defined in the documentation of RelimpPCR()).

Usage

RelimpPCR.predict(pcr, newdata)

Arguments

pcr	(pcr_object): The trained RelimpPCR object produced by the RelimpPCR() function.
newdata	(data frame): The new X value(s) you wish to draw a prediction from.

Value

pred (data frame): A data frame containing the preictions.

Examples

#The below function takes a trained PCR object (produced by RelimpPCR) 
#and a dataframe (using the same columns that the PCR object was trained 
#with) and produces a prediction.
y = mtcars$mpg[1:20]; x = mtcars[1:20,c("cyl","disp")]
pcr_object = RelimpPCR(Y = y, X = x,target_r2 = 0.75, multicore = FALSE,
                       remove_factors = FALSE, normalize_data = FALSE, plot_this = FALSE)
pred = RelimpPCR.predict(pcr_object, data.frame(mtcars$cyl, mtcars$disp))

RelimpPCR documentation built on June 7, 2023, 6:22 p.m.