This function takes the trained RelimpPCR object and proceeds to perform a prediction from the best model (as defined in the documentation of RelimpPCR()).
(pcr_object): The trained RelimpPCR object produced by the RelimpPCR() function.
(data frame): The new X value(s) you wish to draw a prediction from.
pred (data frame): A data frame containing the preictions.
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#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))
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