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View of /src/msg/Recommended/nnet/po/R-ko.po

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# Korean translation for R nnet package
# Recommended/nnet/po/R-ko.po
# Maintainer: Brian Ripley <>
# Copyright (C) 1995-2013 The R Core Team
# This file is distributed under the same license as the R nnet package.
# R Development Translation Team - Korean
# Chel Hee Lee <>, 2013.
# Chel Hee Lee <>, 2013.
msgid ""
msgstr ""
"Project-Id-Version: nnet 7.3-5\n"
"POT-Creation-Date: 2012-10-08 10:54\n"
"PO-Revision-Date: 2013-03-11 13:52-0600\n"
"Last-Translator:Chel Hee Lee  <>\n"
"Language-Team: Chel Hee Lee  <>\n"
"Language: ko\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"X-Poedit-Language: Korean\n"
"X-Poedit-Country: KOREA, REPUBLIC OF\n"
"X-Poedit-SourceCharset: utf-8\n"

msgid "need two or more classes to fit a multinom model"
msgstr "multinomial model을 적합하기 위해서는 두개 이상의 클래스들이 필요합니다"

msgid "some case has no observations"
msgstr "어떤 경우는 관측치가 없습니다"

msgid "ncol(offset) is wrong"
msgstr "ncol(offset)가 올바르지 않습니다"

msgid "not a \"multinom\" fit"
msgstr "\"multinom\" 적합이 아닙니다"

msgid "'scope' is not a subset of term labels"
msgstr "'scope'는 term labels의 부분집합이 아닙니다"

msgid "number of rows in use has changed: remove missing values?"
msgstr "사용중인 행들의 개수가 변경되었습니다:  결측치들을 삭제하시겠나요?"

msgid "no terms in 'scope' for adding to object"
msgstr ""

msgid "anova is not implemented for a single \"multinom\" object"
msgstr "anova는 단일 \"multinom\" 객체에는 구현되지 않았습니다"

msgid "not all objects are of class \"multinom\""
msgstr "모든 객체들이 \"multinom\" 클래스는 아닙니다"

msgid "models were not all fitted to the same size of dataset"
msgstr ""

msgid "missing values in 'x'"
msgstr "'x'에 결측치들이 있습니다"

msgid "missing values in 'y'"
msgstr "'y'에 결측치들이 있습니다"

msgid "nrows of 'x' and 'y' must match"
msgstr "'x'의 행의 개수와 'y'의 행의 개수는 반드시 일치해야 합니다"

msgid "entropy fit only for logistic units"
msgstr ""

msgid "no weights to fit"
msgstr ""

msgid "too many (%d) weights"
msgstr ""

msgid "'softmax = TRUE' requires at least two response categories"
msgstr "'softmax = TRUE'는 적어도 두개의 response categories들이 요구됩니다"

msgid "weights vector of incorrect length"
msgstr "잘못된 길이의 weights vector입니다"

msgid "incorrect length of 'mask'"
msgstr "'mask'의 길이가 잘못되었습니다"

msgid "invalid weights vector"
msgstr "유효하지 않은 weights vector입니다"

msgid "object not of class \"nnet\""
msgstr "클래스 \"nnet\"가 가진 객체입니다"

msgid "inappropriate fit for class"
msgstr ""

msgid "dims of 'x' and 'y' must match"
msgstr "'x'와 'y'의 dims는 반드시 일치해야 합니다"

msgid "not a legitimate neural net fit"
msgstr ""

msgid "group %s is empty"
msgid_plural "groups %s are empty"
msgstr[0] "그룹 %s는 비어있습니다"
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