Poly-Omic Prediction of Complex TRaits R package OmicKriging version 1.4.0 It provides functions to generate a correlation matrix from a genetic dataset and to use this matrix to predict the phenotype of an individual by using the phenotypes of the remaining individuals through kriging. Kriging is a geostatistical method for optimal prediction or best unbiased linear prediction. It consists of predicting the value of a variable at an unobserved location as a weighted sum of the variable at observed locations. Intuitively, it works as a reverse linear regression: instead of computing correlation (univariate regression coefficients are simply scaled correlation) between a dependent variable Y and independent variables X, it uses known correlation between X and Y to predict Y. Software Depends: R(>= 2.15.1), doParallel Imports: ROCR, irlba, parallel, foreach Hae Kyung Im <haky@uchicago.edu> Comprehensive R Archive Network (CRAN) Hae Kyung Im, Heather E. Wheeler, Keston Aquino Michaels, Vassily Trubetskoy GPL (>= 3) 2016-03-08 application/tgz https://CRAN.R-project.org/package=OmicKriging doi:10.32614/CRAN.package.OmicKriging