{ "_id": "6a1f12eab401979e7341de66", "Package": "remote", "Title": "Empirical Orthogonal Teleconnections in R", "Version": "1.2.3", "Authors@R": "c(person(given = \"Tim\",\nfamily = \"Appelhans\",\nrole = c(\"cre\", \"aut\"),\nemail = \"tim.appelhans@gmail.com\"),\nperson(given = \"Florian\",\nfamily = \"Detsch\",\nrole = \"aut\",\nemail = \"fdetsch@web.de\"),\nperson(given = \"Thomas\",\nfamily = \"Nauss\",\nrole = \"ctb\"))", "Maintainer": "Tim Appelhans ", "Description": "Empirical orthogonal teleconnections in R. 'remote' is\nshort for 'R(-based) EMpirical Orthogonal TEleconnections'. It\nimplements a collection of functions to facilitate empirical\northogonal teleconnection analysis. Empirical Orthogonal\nTeleconnections (EOTs) denote a regression based approach to\ndecompose spatio-temporal fields into a set of independent\northogonal patterns. They are quite similar to Empirical\nOrthogonal Functions (EOFs) with EOTs producing less abstract\nresults. 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