Principle component regression for imputation
Principle component regression method for imputation
pcrR(x, y)
x |
predictor matrix |
y |
response vector |
a model object that can be used by the impute
function
data(parkinson) missdata <- SimIm(parkinson, 0.1) impdata <- impute(missdata, lmFun = "pcrR")
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