For multivariate datasets, this function enables the estimation of missing data using the Weighted AVERage of all possible Regressions using the data available as performed by Sears et al (2008).
1  waverr(RawData, Nrepeats)

RawData 
A dataframe with each individual represented by a separate row and each variable by a column. Missing data coded as NA. 
Nrepeats 
The number of repeats performed for the estimation of the error associated with reconstructed data. 
ReconstructedData 
A matrix of the original data with the missing data replaced by estimated values. It is also saved as a text file in the working directory as "ReconsructedData.txt". 
ReconstructedDataStDev 
A matrix of the standard deviation associated with each estimated value. It is also saved as a text file in the working directory as "ReconsructedDataStDev.txt". 
ResampledData 
A threedimensional array in which each estimated value is resampled (number of repeats determined by Nrepeats) according to a normal distribution. It is also saved as a text file in the working directory as "ResampledReconstructions.txt". 
VariableStDev 
A matrix of the error associated with each estimated data point as a function of the standard deviation of Nrepeat resampled estimations. It is also saved as a text file in the working directory as "ResampledReconstructionsStandardDeviation.txt". 
Olivia Cheronet, John A. Finarelli
Sears, K.E., Finarelli, J.A., Flynn, J.J., & Wyss, A.R. (2008). Estimating body mass in New World "monkeys" (Platyrrhini, Primates), with a consideration of the Miocene platyrrhine, Chilecebus carrascoensis. American Museum Novitates, 3617, 129.
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