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# Russian translations for R
# òÕÓÓËÉÊ ÐÅÒÅ×ÏÄ ÄÌÑ R
#
# Copyright (C) 2008 The R Foundation
# This file is distributed under the same license as the R package.
# Copyright (C) 2010 Alexey Shipunov <dactylorhiza at gmail>
# Copyright (C) 2009-2011 Anton Korobeynikov <asl at math dot spbu dot ru>
#
msgid ""
msgstr ""
"Project-Id-Version: R 2.11.0\n"
"Report-Msgid-Bugs-To: bugs.r-project.org\n"
"POT-Creation-Date: 2020-03-24 10:13\n"
"PO-Revision-Date: 2018-04-07 15:49-0500\n"
"Last-Translator: Alexey Shipunov <dactylorhiza@gmail.com>\n"
"Language-Team: Russian\n"
"Language: ru\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=KOI8-R\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=3; plural=(n%10==1 && n%100!=11 ? 0 : n%10>=2 && n"
"%10<=4 && (n%100<10 || n%100>=20) ? 1 : 2);\n"
"X-Generator: Poedit 1.8.7.1\n"
msgid "models are not all fitted to the same number of observations"
msgstr "ÎÅ ×ÓÅ ÍÏÄÅÌÉ ÂÙÌÉ ÐÏÄÏÇÎÁÎÙ ÐÏÄ ÒÁÚÍÅÒ ÄÁÎÎÙÈ"
msgid "empty model supplied"
msgstr "ÐÒÅÄÌÏÖÅÎÁ ÐÕÓÔÁÑ ÍÏÄÅÌØ"
msgid "'acf' must be of length two or more"
msgstr "'acf' ÄÏÌÖÅÎ ÂÙÔØ ÄÌÉÎÏÊ Ä×Á ÉÌÉ ÂÏÌÅÅ"
msgid "object not interpretable as a factor"
msgstr "ÏÂßÅËÔ ÎÅ ÉÎÔÅÒÐÒÅÔÉÒÕÅÔÓÑ ËÁË ÆÁËÔÏÒ"
msgid "cannot fit models without level ('alpha' must not be 0 or FALSE)"
msgstr ""
"ÎÅ ÍÏÇÕ ÐÏÄÏÇÎÁÔØ ÍÏÄÅÌÉ ÂÅÚ ÕÒÏ×ÎÑ ('alpha' ÎÅ ÄÏÌÖÎÁ ÂÙÔØ ÎÕÌÅÍ ÉÌÉ FALSE)."
msgid "'alpha', 'beta' and 'gamma' must be within the unit interval"
msgstr "'alpha', 'beta' É 'gamma' ÄÏÌÖÎÙ ÂÙÔØ ×ÎÕÔÒÉ ÅÄÉÎÉÞÎÏÇÏ ÉÎÔÅÒ×ÁÌÁ"
msgid "data must be non-zero for multiplicative Holt-Winters"
msgstr ""
"ÄÁÎÎÙÅ ÄÏÌÖÎÙ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍÉ ÄÌÑ ÍÕÌØÔÉÐÌÉËÁÔÉ×ÎÏÇÏ ×ÁÒÉÁÎÔÁ ÍÅÔÏÄÁ "
"èÏÌÔÁ-÷ÉÎÔÅÒÓÁ"
msgid "need at least 2 periods to compute seasonal start values"
msgstr ""
"ÎÕÖÎÙ ÐÏ ËÒÁÊÎÅÊ ÍÅÒÅ 2 ÐÅÒÉÏÄÁ, ÞÔÏÂÙ ×ÙÞÉÓÌÉÔØ ÓÔÁÒÔÏ×ÙÅ ÚÎÁÞÅÎÉÑ ÓÅÚÏÎÁ"
msgid "invalid length(x)"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ length(x)"
msgid "optimization difficulties: %s"
msgstr "ÔÒÕÄÎÏÓÔÉ ÏÐÔÉÍÉÚÁÃÉÉ: %s"
msgid "optimization failure"
msgstr "ÏÛÉÂËÁ ÏÐÔÉÍÉÚÁÃÉÉ"
msgid "time series has no or less than 2 periods"
msgstr "×ÒÅÍÅÎÎÏÊ ÒÑÄ ÎÅ ÉÍÅÅÔ ÉÌÉ ÉÍÅÅÔ ÍÅÎØÛÅ 2 ÐÅÒÉÏÄÏ×"
msgid "the series is entirely NA"
msgstr "ÒÑÄ ÃÅÌÉËÏÍ ÉÚ NA"
msgid "frequency must be a positive integer >= 2 for BSM"
msgstr "ÞÁÓÔÏÔÁ ÄÌÑ BSM ÄÏÌÖÎÁ ÂÙÔØ ÐÏÌÏÖÉÔÅÌØÎÙÍ ÃÅÌÙÍ >= 2"
msgid "only implemented for univariate time series"
msgstr "ÒÅÁÌÉÚÏ×ÁÎÏ ÔÏÌØËÏ ÄÌÑ ÏÄÎÏÍÅÒÎÙÈ ×ÒÅÍÅÎÎÙÈ ÒÑÄÏ×"
msgid "'x' must be numeric"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏÍ"
msgid "the first value of the time series must not be missing"
msgstr "ÐÅÒ×ÏÅ ÚÎÁÞÅÎÉÅ ×ÒÅÍÅÎÎÏÇÏ ÒÑÄÁ ÎÅ ÄÏÌÖÎÏ ÂÙÔØ ÐÒÏÐÕÝÅÎÎÙÍ"
msgid "all parameters were fixed"
msgstr "×ÓÅ ÐÁÒÁÍÅÔÒÙ ÂÙÌÉ ÆÉËÓÉÒÏ×ÁÎÎÙÍÉ"
msgid "possible convergence problem: 'optim' gave code = %d and message %s"
msgstr "×ÏÚÍÏÖÎÏ, ÐÒÏÂÌÅÍÁ ÓÈÏÄÉÍÏÓÔÉ: 'optim' ×ÙÄÁÌ ËÏÄ= %d É ÓÏÏÂÝÅÎÉÅ %s"
msgid "no factors in the fitted model"
msgstr "× ÐÏÄÏÇÎÁÎÎÏÊ ÍÏÄÅÌÉ ÎÅÔ ÆÁËÔÏÒÏ×"
msgid "'which' specified no factors"
msgstr "'which' ÎÅ ÕËÁÚÙ×ÁÅÔ ÆÁËÔÏÒÙ"
msgid "'which' specified some non-factors which will be dropped"
msgstr "'which' ÕËÁÚÙ×ÁÅÔ ÎÅËÏÔÏÒÙÅ ÎÅ-ÆÁËÔÏÒÙ, ËÏÔÏÒÙÅ ÂÕÄÕÔ ×ÙÂÒÏÛÅÎÙ"
msgid "'sampleT' and 'nser' must be integer"
msgstr "'sampleT' É 'nser' ÄÏÌÖÎÙ ÂÙÔØ ÃÅÌÏÞÉÓÌÅÎÎÙÍÉ"
msgid "'lag.max' must be at least 0"
msgstr "'lag.max' ÄÏÌÖÅÎ ÂÙÔØ ÐÏ ÍÅÎØÛÅÊ ÍÅÒÅ 0"
msgid "'lag.max' must be at least 1"
msgstr "'lag.max' ÄÏÌÖÅÎ ÂÙÔØ ÐÏ ÍÅÎØÛÅÊ ÍÅÒÅ 1"
msgid "NAs in 'x'"
msgstr "NAs × 'x'"
msgid "x$lag must have at least 1 column"
msgstr "x$lag ÄÏÌÖÅÎ ÉÍÅÔØ ËÁË ÍÉÎÉÍÕÍ 1 ËÏÌÏÎËÕ"
msgid "can use ci.type=\"ma\" only if first lag is 0"
msgstr "ÍÏÇÕ ÉÓÐÏÌØÚÏ×ÁÔØ ci.type=\"ma\" ÔÏÌØËÏ ÅÓÌÉ ÐÅÒ×ÙÊ ÌÁÇ -- ÎÏÌØ"
msgid "Page [%d,%d]: i =%s; j =%s"
msgstr "óÔÒÁÎÉÃÁ [%d,%d]: i =%s; j =%s"
msgid "univariate time series only"
msgstr "ÔÏÌØËÏ ÏÄÎÏÍÅÒÎÙÅ ×ÒÅÍÅÎÎÙÅ ÒÑÄÙ"
msgid "no terms in scope"
msgstr "× ÏÂÌÁÓÔÉ ÄÅÊÓÔ×ÉÑ ÎÅÔ ×ÙÒÁÖÅÎÉÊ"
msgid "no terms in scope for adding to object"
msgstr "× ÏÂÌÁÓÔÉ ÄÅÊÓÔ×ÉÑ ÎÅÔ ×ÙÒÁÖÅÎÉÊ ÄÌÑ ÄÏÂÁ×ÌÅÎÉÑ Ë ÏÂßÅËÔÕ"
msgid "number of rows in use has changed: remove missing values?"
msgstr "ËÏÌÉÞÅÓÔ×Ï ÉÓÐÏÌØÚÕÅÍÙÈ ÓÔÒÏË ÉÚÍÅÎÉÌÏÓØ: ÕÂÒÁÎÙ ÐÒÏÐÕÝÅÎÎÙÅ ÚÎÁÞÅÎÉÑ?"
msgid "attempting model selection on an essentially perfect fit is nonsense"
msgstr "ÐÏÐÙÔËÁ ×ÙÂÏÒÁ ÍÏÄÅÌÉ ÄÌÑ × ÃÅÌÏÍ ÈÏÒÏÛÅÊ ÐÏÄÇÏÎËÉ -- ÇÌÕÐÏÓÔØ"
msgid "F test assumes quasi%s family"
msgstr "ôÅÓÔ æÉÛÅÒÁ ÐÒÅÄÐÏÌÁÇÁÅÔ Ë×ÁÚÉ-%s ÓÅÍÅÊÓÔ×Ï"
msgid "no 'add1' method implemented for \"mlm\" models"
msgstr "'add1'-ÍÅÔÏÄ ÄÌÑ ÍÏÄÅÌÅÊ \"mlm\" ÎÅ ÒÅÁÌÉÚÏ×ÁÎ"
msgid "scope is not a subset of term labels"
msgstr "ÏÂÌÁÓÔØ ÄÅÊÓÔ×ÉÑ ÎÅ Ñ×ÌÑÅÔÓÑ ÐÏÄÍÎÏÖÅÓÔ×ÏÍ ÍÅÔÏË ×ÙÒÁÖÅÎÉÊ"
msgid "no 'drop1' method for \"mlm\" models"
msgstr "'drop1'-ÍÅÔÏÄ ÄÌÑ ÍÏÄÅÌÅÊ \"mlm\" ÏÔÓÕÔÓÔ×ÕÅÔ"
msgid "F test assumes 'quasi%s' family"
msgstr "ôÅÓÔ æÉÛÅÒÁ ÐÒÅÄÐÏÌÁÇÁÅÔ ÓÅÍÅÊÓÔ×Ï 'quasi%s'"
msgid "AIC is not defined for this model, so 'step' cannot proceed"
msgstr "AIC ÄÌÑ ÜÔÏÊ ÍÏÄÅÌÉ ÎÅ ÏÐÒÅÄÅÌÅÎÁ, ÐÏÜÔÏÍÕ 'step' ÎÅ ÒÁÂÏÔÁÅÔ"
msgid "AIC is -infinity for this model, so 'step' cannot proceed"
msgstr ""
"AIC ÄÌÑ ÜÔÏÊ ÍÏÄÅÌÉ ÏÔÒÉÃÁÔÅÌØÎÏ ÂÅÓËÏÎÅÞÎÁ, ÐÏÜÔÏÍÕ 'step' ÎÅ ÒÁÂÏÔÁÅÔ"
msgid "'A' must be an array or table"
msgstr "'A' ÄÏÌÖÅÎ ÂÙÔØ ÍÁÔÒÉÃÅÊ ÉÌÉ ÔÁÂÌÉÃÅÊ"
msgid ""
"length of FUN, %d,\n"
" does not match the length of the margins, %d"
msgstr ""
"ÄÌÉÎÁ FUN, %d,\n"
" ÎÅ ÓÏÏÔ×ÅÔÓÔ×ÕÅÔ ÄÌÉÎÅ ËÒÁÅ×, %d"
msgid "no rows to aggregate"
msgstr "ÏÔÓÕÔÓÔ×ÕÀÔ ÓÔÒÏËÉ ÄÌÑ ÁÇÒÅÇÉÒÏ×ÁÎÉÑ"
msgid "'by' must be a list"
msgstr "'by' ÄÏÌÖÅÎ ÂÙÔØ ÓÐÉÓËÏÍ"
msgid "arguments must have same length"
msgstr "ÁÒÇÕÍÅÎÔÙ ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÎÕ ÄÌÉÎÕ"
msgid "'formula' missing or incorrect"
msgstr "'formula' ÐÒÏÐÕÝÅÎÁ ÉÌÉ ÎÅÐÒÁ×ÉÌØÎÁÑ"
msgid "'formula' must have both left and right hand sides"
msgstr "'ÆÏÒÍÕÌÁ' ÄÏÌÖÎÁ ÉÍÅÔØ É ÌÅ×ÕÀ, É ÐÒÁ×ÕÀ ÓÔÏÒÏÎÙ"
msgid "cannot change frequency from %g to %g"
msgstr "ÎÅ ÍÏÇÕ ÉÚÍÅÎÉÔØ ÞÁÓÔÏÔÕ Ó %g ÎÁ %g"
msgid "'x' must be coefficient matrix/data frame"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ËÏÜÆÆÉÃÉÅÎÔÏÍ ÍÁÔÒÉÃÙ/ÔÁÂÌÉÃÙ ÄÁÎÎÙÈ"
msgid "option \"show.coef.Pvalues\" is invalid: assuming TRUE"
msgstr "ÏÐÃÉÑ \"show.coef.Pvalues\" ÎÅÐÒÁ×ÉÌØÎÁÑ: ÐÒÅÄÐÏÌÁÇÁÀ TRUE"
msgid "'P.values' is TRUE, but 'has.Pvalue' is not"
msgstr "'P.values' = TRUE, ÎÏ 'has.Pvalue' ÎÅÔ"
msgid "wrong k / cs.ind"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ k / cs.ind"
msgid "option \"show.signif.stars\" is invalid: assuming TRUE"
msgstr "ÏÐÃÉÑ \"show.signif.stars\" ÎÅÐÒÁ×ÉÌØÎÁÑ: ÐÒÅÄÐÏÌÁÇÁÀ TRUE"
msgid "'anova' object must have colnames"
msgstr "ÏÂßÅËÔ 'anova' ÄÏÌÖÅÎ ÉÍÅÔØ ÉÍÅÎÁ ËÏÌÏÎÏË"
msgid "'conf.level' must be a single number between 0 and 1"
msgstr "'conf.level' ÄÏÌÖÅÎ ÂÙÔØ ÏÄÉÎÏÞÎÙÍ ÞÉÓÌÏÍ ÍÅÖÄÕ 0 É 1"
msgid "not enough 'x' observations"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÎÁÂÌÀÄÅÎÉÊ 'x'"
msgid "not enough 'y' observations"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÎÁÂÌÀÄÅÎÉÊ 'y'"
msgid "samples differ in location: cannot compute confidence set, returning NA"
msgstr ""
"×ÙÂÏÒËÉ ÒÁÚÌÉÞÁÀÔÓÑ ÐÏÌÏÖÅÎÉÅÍ: ÎÅ ÍÏÇÕ ÐÏÄÓÞÉÔÁÔØ ÄÏ×ÅÒÉÔÅÌØÎÏÅ ÍÎÏÖÅÓÔ×Ï, "
"×ÏÚ×ÒÁÝÁÀ NA"
msgid "cannot compute confidence set, returning NA"
msgstr "ÎÅ ÍÏÇÕ ÐÏÄÓÞÉÔÁÔØ ÄÏ×ÅÒÉÔÅÌØÎÏÅ ÍÎÏÖÅÓÔ×Ï, ×ÏÚ×ÒÁÝÁÀ NA"
msgid "cannot compute asymptotic confidence set or estimator"
msgstr "ÎÅ ÍÏÇÕ ÐÏÄÓÞÉÔÁÔØ ÁÓÉÍÐÔÏÔÉÞÅÓËÏÅ ÄÏ×ÅÒÉÔÅÌØÎÏÅ ÍÎÏÖÅÓÔ×Ï ÉÌÉ ÏÃÅÎËÕ"
msgid "cannot compute estimate, returning NA"
msgstr "ÎÅ ÍÏÇÕ ÐÏÄÓÞÉÔÁÔØ ÏÃÅÎËÕ, ×ÏÚ×ÒÁÝÁÀ NA"
msgid "cannot compute exact p-value with ties"
msgstr ""
"ÎÅ ÍÏÇÕ ÐÏÄÓÞÉÔÁÔØ ÔÏÞÎÏÅ p-ÚÎÁÞÅÎÉÅ ÐÒÉ ÎÁÌÉÞÉÉ ÐÏ×ÔÏÒÑÀÝÉÈÓÑ ÎÁÂÌÀÄÅÎÉÊ"
msgid "cannot compute exact confidence intervals with ties"
msgstr ""
"ÎÅ ÍÏÇÕ ÐÏÄÓÞÉÔÁÔØ ÔÏÞÎÙÅ ÄÏ×ÅÒÉÔÅÌØÎÙÅ ÉÎÔÅÒ×ÁÌÙ ÐÒÉ ÎÁÌÉÞÉÉ ÐÏ×ÔÏÒÑÀÝÉÈÓÑ "
"ÎÁÂÌÀÄÅÎÉÊ"
msgid "grouping factor must have exactly 2 levels"
msgstr "ÇÒÕÐÐÉÒÕÀÝÉÊ ÆÁËÔÏÒ ÄÏÌÖÅÎ ÉÍÅÔØ × ÔÏÞÎÏÓÔÉ 2 ÕÒÏ×ÎÑ"
msgid "weights are not supported in a multistratum aov() fit"
msgstr "×ÅÓÁ ÎÅ ÐÏÄÄÅÒÖÉ×ÁÀÔÓÑ ÄÌÑ ÍÎÏÇÏÓÌÏÊÎÏÇÏ ×ÁÒÉÁÎÔÁ aov()"
msgid "Error() model is singular"
msgstr "Error()-ÍÏÄÅÌØ ÓÉÎÇÕÌÑÒÎÁ"
msgid "the 'split' argument must be a list"
msgstr "ÁÒÇÕÍÅÎÔ 'split' ÄÏÌÖÅÎ ÂÙÔØ ÓÐÉÓËÏÍ"
msgid "'coef' must define a contrast, i.e., sum to 0"
msgstr "'coef' ÄÏÌÖÅÎ ÏÐÒÅÄÅÌÑÔØ ËÏÎÔÒÁÓÔ, Ô.Å., ÅÇÏ ÓÕÍÍÁ ÄÏÌÖÎÁ = 0"
msgid "'coef' must have same length as 'contrast.obj'"
msgstr "'coef' ÄÏÌÖÅÎ ÉÍÅÔØ ÔÕ ÖÅ ÄÌÉÎÕ, ÞÔÏ É 'ËÏÎÔÒÁÓÔ.obj'"
msgid "each element of '%s' must be logical"
msgstr "ËÁÖÄÙÊ ÜÌÅÍÅÎÔ '%s' ÄÏÌÖÅÎ ÂÙÔØ ÌÏÇÉÞÅÓËÉÍ"
msgid "the contrast defined is empty (has no TRUE elements)"
msgstr "ÏÐÒÅÄÅÌÅÎÎÙÊ ËÏÎÔÒÁÓÔ ÐÕÓÔ (ÎÅ ÉÍÅÅÔ TRUE-ÜÌÅÍÅÎÔÏ×)"
msgid "columns of 'contrast.obj' must define a contrast (sum to zero)"
msgstr "ËÏÌÏÎËÉ 'ËÏÎÔÒÁÓÔ.obj' ÄÏÌÖÅÎ ÏÐÒÅÄÅÌÑÔØ ËÏÎÔÒÁÓÔ (Ó ÎÕÌÅ×ÏÊ ÓÕÍÍÏÊ)"
msgid "no degrees of freedom for residuals"
msgstr "ÄÌÑ ÏÓÔÁÔËÏ× ÎÅÔ ÓÔÅÐÅÎÅÊ Ó×ÏÂÏÄÙ"
msgid "'object' does not include an error 'qr' component"
msgstr "'object' ÎÅ ×ËÌÀÞÁÅÔ ÏÛÉÂËÕ 'qr'-ËÏÍÐÏÎÅÎÔÁ"
msgid "Refitting model to allow projection"
msgstr "ðÏÄÇÏÎËÁ ÍÏÄÅÌÉ ÄÌÑ ÔÏÇÏ ÞÔÏÂÙ ÓÄÅÌÁÔØ ×ÏÚÍÏÖÎÏÊ ÐÒÏÅËÃÉÀ"
msgid "columns of 'contrast.obj' must define a contrast(sum to zero)"
msgstr "ËÏÌÏÎËÉ 'ËÏÎÔÒÁÓÔ.obj' ÄÏÌÖÎÙ ÏÐÒÅÄÅÌÑÔØ ËÏÎÔÒÁÓÔ (Ó ÎÕÌÅ×ÏÊ ÓÕÍÍÏÊ)"
msgid "'ties' is not \"ordered\", a function, or list(<string>, <function>)"
msgstr ""
msgid "collapsing to unique 'x' values"
msgstr "Ó×ÅÒÔÙ×ÁÅÔÓÑ × ÕÎÉËÁÌØÎÙÅ ÚÎÁÞÅÎÉÑ 'x'"
msgid "invalid interpolation method"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÍÅÔÏÄ ÉÎÔÅÒÐÏÌÑÃÉÉ"
msgid "need at least two non-NA values to interpolate"
msgstr "ÄÌÑ ÉÎÔÅÒÐÏÌÑÃÉÉ ÎÕÖÎÙ ÐÏ ËÒÁÊÎÅÊ ÍÅÒÅ Ä×Á ÎÅ-NA ÚÎÁÞÅÎÉÑ"
msgid "zero non-NA points"
msgstr "ÎÕÌÅ×ÙÅ ÎÅ-NA ÔÏÞËÉ"
msgid "'approx' requires n >= 1"
msgstr "'approx' ÔÒÅÂÕÅÔ n >= 1"
msgid "NAs in 'x' must be the same row-wise"
msgstr "NA × 'x' ÄÏÌÖÎÙ ÂÙÔØ ÏÄÉÎÁËÏ×Ù ÐÏÓÔÒÏÞÎÏ"
msgid "'order.max' must be >= 1"
msgstr "'order.max' ÄÏÌÖÅÎ ÂÙÔØ >= 1"
msgid "'order.max' must be < 'n.obs'"
msgstr "'order.max' ÄÏÌÖÅÎ ÂÙÔØ < 'n.obs'"
msgid "zero-variance series"
msgstr "ÓÅÒÉÑ Ó ÎÕÌÅ×ÏÊ ×ÁÒÉÁÎÓÏÊ"
msgid "'n.ahead' must be at least 1"
msgstr "'n.ahead' ÄÏÌÖÅÎ ÂÙÔØ ÐÏ ÍÅÎØÛÅÊ ÍÅÒÅ 1"
msgid "number of series in 'object' and 'newdata' do not match"
msgstr "ËÏÌÉÞÅÓÔ×Ï ÓÅÒÉÊ × 'object' É 'newdata' ÎÅ ÓÏ×ÐÁÄÁÀÔ"
msgid "'se.fit' not yet implemented for multivariate models"
msgstr "'se.fit' ÄÌÑ ÍÎÏÇÏÍÅÒÎÙÈ ÍÏÄÅÌÅÊ ÅÝÅ ÎÅ ÒÁÚÒÁÂÏÔÁÎ"
msgid "MLE only implemented for univariate series"
msgstr "MLE ÒÁÚÒÁÂÏÔÁÎ ÔÏÌØËÏ ÄÌÑ ÏÄÎÏÍÅÒÎÙÈ ÓÅÒÉÊ"
msgid "'order.max' must be >= 0"
msgstr "'order.max' ÄÏÌÖÅÎ ÂÙÔØ >= 0"
msgid "'order.max' must be < 'n.used'"
msgstr "'order.max' ÄÏÌÖÅÎ ÂÙÔØ < 'n.used'"
msgid "'order' must be a non-negative numeric vector of length 3"
msgstr "'order' ÄÏÌÖÅÎ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍ ÞÉÓÌÏ×ÙÍ ×ÅËÔÏÒÏÍ ÄÌÉÎÙ 3"
msgid "'seasonal' must be a list with component 'order'"
msgstr "'seasonal' ÄÏÌÖÅÎ ÂÙÔØ ÓÐÉÓËÏÍ Ó ËÏÍÐÏÎÅÎÔÏÍ 'order'"
msgid "'seasonal$order' must be a non-negative numeric vector of length 3"
msgstr "'seasonal$order' ÄÏÌÖÅÎ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍ ÞÉÓÌÏ×ÙÍ ×ÅËÔÏÒÏÍ ÄÌÉÎÙ 3"
msgid "lengths of 'x' and 'xreg' do not match"
msgstr "ÄÌÉÎÙ 'x' É 'xreg' ÎÅ ÓÏÏÔ×ÅÔÓÔ×ÕÀÔ"
msgid "wrong length for 'fixed'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÄÌÉÎÁ 'fixed'"
msgid "some AR parameters were fixed: setting transform.pars = FALSE"
msgstr ""
"ÎÅËÏÔÏÒÙÅ ÐÁÒÁÍÅÔÒÙ AR ÂÙÌÉ ÉÓÐÒÁ×ÌÅÎÙ: ÕÓÔÁÎÁ×ÌÉ×ÁÀ transform.pars = FALSE"
msgid "too few non-missing observations"
msgstr "ÓÌÉÛËÏÍ ÍÁÌÏ ÎÅÐÒÏÐÕÝÅÎÎÙÈ ÚÎÁÞÅÎÉÊ"
msgid "'init' is of the wrong length"
msgstr "'init' ÎÅÐÒÁ×ÉÌØÎÏÊ ÄÌÉÎÙ"
msgid "non-stationary AR part"
msgstr "ÎÅÓÔÁÃÉÏÎÁÒÎÁÑ ÞÁÓÔØ Á×ÔÏÒÅÇÒÅÓÓÉÉ"
msgid "non-stationary seasonal AR part"
msgstr "ÎÅÓÔÁÃÉÏÎÁÒÎÁÑ ÓÅÚÏÎÎÁÑ ÞÁÓÔØ Á×ÔÏÒÅÇÒÅÓÓÉÉ"
msgid "possible convergence problem: optim gave code = %d"
msgstr "×ÏÚÍÏÖÎÏ, ÐÒÏÂÌÅÍÁ ÓÈÏÄÉÍÏÓÔÉ: 'optim' ×ÙÄÁÌ ËÏÄ= %d"
msgid "non-stationary AR part from CSS"
msgstr "ÎÅÓÔÁÃÉÏÎÁÒÎÁÑ ÞÁÓÔØ Á×ÔÏÒÅÇÒÅÓÓÉÉ ÉÚ CSS"
msgid "non-stationary seasonal AR part from CSS"
msgstr "ÎÅÓÔÁÃÉÏÎÁÒÎÁÑ ÓÅÚÏÎÎÁÑ ÞÁÓÔØ Á×ÔÏÒÅÇÒÅÓÉÉ ÉÚ CSS"
msgid "'xreg' and 'newxreg' have different numbers of columns"
msgstr "Õ 'xreg' É 'newxreg' -- ÒÁÚÎÏÅ ËÏÌÉÞÅÓÔ×Ï ËÏÌÏÎÏË"
msgid "MA part of model is not invertible"
msgstr "ÞÁÓÔØ ÓËÏÌØÚÑÝÅÇÏ ÓÒÅÄÎÅÇÏ ÉÚ ÍÏÄÅÌÉ ÎÅ ÏÂÒÁÔÉÍÁ"
msgid "seasonal MA part of model is not invertible"
msgstr "ÓÅÚÏÎÎÁÑ ÞÁÓÔØ ÓËÏÌØÚÑÝÅÇÏ ÓÒÅÄÎÅÇÏ ÉÚ ÍÏÄÅÌÉ ÎÅÏÂÒÁÔÉÍÁ"
msgid "NAs in '%s'"
msgstr "NAs × '%s'"
msgid "invalid 'SSinit'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'SSinit'"
msgid "converting non-invertible initial MA values"
msgstr "ËÏÎ×ÅÒÔÉÒÕÀ ÎÅ-ÎÅÏÂÒÁÔÉÍÙÅ ÎÁÞÁÌØÎÙÅ ÚÎÁÞÅÎÉÑ ÓËÏÌØÚÑÝÅÇÏ ÓÒÅÄÎÅÇÏ"
msgid "some ARMA parameters were fixed: setting transform.pars = FALSE"
msgstr ""
"ÎÅËÏÔÏÒÙÅ ÐÁÒÁÍÅÔÒÙ ÍÏÄÅÌÉ Á×ÔÏÒÅÇÒÅÓÓÉÉ-ÓËÏÌØÚÑÝÅÇÏ ÓÒÅÄÎÅÇÏ ÂÙÌÉ "
"ÉÓÐÒÁ×ÌÅÎÙ: ÕÓÔÁÎÁ×ÌÉ×ÁÀ transform.pars = FALSE"
msgid "'xreg' is collinear"
msgstr "'xreg' ËÏÌÌÉÎÅÁÒÅÎ"
msgid "NAs present: setting 'delta' to -1"
msgstr "ÅÓÔØ NAs: ÕÓÔÁÎÁ×ÌÉ×ÁÀ 'delta' × -1"
msgid "transformed ARMA parameters were fixed"
msgstr ""
"ÉÚÍÅÎÅÎÎÙÅ ÐÁÒÁÍÅÔÒÙ ÍÏÄÅÌÉ Á×ÔÏÒÅÇÒÅÓÓÉÉ-ÓËÏÌØËÏÚÑÝÅÇÏ ÓÒÅÄÎÅÇÏ ÂÙÌÉ "
"ÉÓÐÒÁ×ÌÅÎÙ"
msgid "need at least 2 data points"
msgstr "ÎÕÖÎÙ ÐÏ ËÒÁÊÎÅÊ ÍÅÒÅ 2 ÔÏÞËÉ"
msgid "invalid 'x'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'x'"
msgid "invalid 'nb'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'nb'"
msgid "no solution in the specified range of bandwidths"
msgstr "× ÕËÁÚÁÎÎÏÍ ÄÉÁÐÁÚÏÎÅ ÒÅÛÅÎÉÊ ÎÅÔ"
msgid "increasing bw.SJ() search interval (%d) to [%.4g,%.4g]"
msgstr "Õ×ÅÌÉÞÉ×ÁÀ bw.SJ() ÉÎÔÅÒ×ÁÌ ÐÏÉÓËÁ (%d) ÄÏ [%.4g,%.4g]"
msgid "minimum occurred at one end of the range"
msgstr "ÍÉÎÉÍÕÍ ÏËÁÚÁÌÓÑ × ËÏÎÃÅ ÉÎÔÅÒ×ÁÌÁ"
msgid "'x' must be a list with at least 2 elements"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÓÐÉÓËÏÍ Ó ËÁË ÍÉÎÉÍÕÍ 2 ÜÌÅÍÅÎÔÁÍÉ"
msgid "'x' and 'g' must have the same length"
msgstr "'x' É 'g' ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÎÕ ÄÌÉÎÕ"
msgid "all observations are in the same group"
msgstr "×ÓÅ ÎÁÂÌÀÄÅÎÉÑ ÎÁÈÏÄÑÔÓÑ × ÏÄÎÏÊ ÇÒÕÐÐÅ"
msgid "there must be at least 2 observations in each group"
msgstr "ÔÕÔ ÄÏÌÖÎÏ ÂÙÔØ ËÁË ÍÉÎÉÍÕÍ 2 ÎÁÂÌÀÄÅÎÉÑ × ËÁÖÄÏÊ ÇÒÕÐÐÅ"
msgid "'formula' should be of the form response ~ group"
msgstr "'formula'ÄÏÌÖÎÁ ÂÙÔØ × ×ÉÄÅ ÏÔËÌÉË ~ ÇÒÕÐÐÁ"
msgid "'x' must be nonnegative and integer"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍ É ÃÅÌÙÍ"
msgid "'n' must be a positive integer >= 'x'"
msgstr "'n' ÄÏÌÖÅÎ ÂÙÔØ ÐÏÌÏÖÉÔÅÌØÎÙÍ ÃÅÌÙÍ >= 'x'"
msgid "incorrect length of 'x'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÄÌÉÎÁ 'x'"
msgid "'p' must be a single number between 0 and 1"
msgstr "'p' ÄÏÌÖÅÎ ÂÙÔØ ÏÄÉÎÏÞÎÙÍ ÞÉÓÌÏÍ ÍÅÖÄÕ 0 É 1"
msgid "length of choices must be 2"
msgstr "ÄÌÉÎÁ 'choices' ÄÏÌÖÅÎ ÂÙÔØ 2"
msgid "object '%s' has no scores"
msgstr "ÏÂßÅËÔ '%s' ÎÅ ÉÍÅÅÔ ×ËÌÁÄÏ×"
msgid "'scale' is outside [0, 1]"
msgstr "'scale' ÎÁÈÏÄÉÔÓÑ ×ÎÅ [0, 1]"
msgid "biplots are not defined for complex PCA"
msgstr "ÄÌÑ ËÏÍÐÌÅËÓÎÏÇÏ ÁÎÁÌÉÚÁ ÇÌÁ×ÎÙÈ ËÏÍÐÏÎÅÎÔ ÂÉÐÌÏÔÙ ÎÅ ÏÐÒÅÄÅÌÅÎÙ"
msgid "unequal number of rows in 'cancor'"
msgstr "ÎÅÏÄÉÎÁËÏ×ÏÅ ËÏÌÉÞÅÓÔ×Ï ÓÔÒÏË × 'cancor'"
msgid "dimension 0 in 'x' or 'y'"
msgstr "'x' ÉÌÉ 'y' ÉÍÅÀÔ 0 ÉÚÍÅÒÅÎÉÊ"
msgid "'x' has rank 0"
msgstr "'x' ÉÍÅÅÔ ÎÕÌÅ×ÏÊ ÒÁÎÇ"
msgid "'y' has rank 0"
msgstr "'y' ÉÍÅÅÔ ÎÕÌÅ×ÏÊ ÒÁÎÇ"
msgid "'x' and 'y' must have the same length"
msgstr "'x' É 'y' ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÎÕ ÄÌÉÎÕ"
msgid "'x' and 'y' must have at least 2 levels"
msgstr "'x' É 'y' ÄÏÌÖÅÎ ÉÍÅÔØ ËÁË ÍÉÎÉÍÕÍ 2 ÕÒÏ×ÎÑ"
msgid "all entries of 'x' must be nonnegative and finite"
msgstr "×ÓÅ ÚÁÐÉÓÉ 'x' ÄÏÌÖÎÙ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍÉ É ËÏÎÅÞÎÙÍÉ"
msgid "at least one entry of 'x' must be positive"
msgstr "ÐÏ ÍÅÎØÛÅÊ ÍÅÒÅ ÏÄÎÁ ÚÁÐÉÓØ 'x' ÄÏÌÖÎÁ ÂÙÔØ ÐÏÌÏÖÉÔÅÌØÎÏÊ"
msgid "cannot compute simulated p-value with zero marginals"
msgstr "ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ÓÉÍÕÌÉÒÏ×ÁÎÎÙÅ p-values Ó ÎÕÌÅ×ÙÍÉ ËÒÁÑÍÉ"
msgid "'x' must at least have 2 elements"
msgstr "'x' ÄÏÌÖÅÎ ÉÍÅÔØ ËÁË ÍÉÎÉÍÕÍ 2 ÜÌÅÍÅÎÔÁ"
msgid "'x' and 'p' must have the same number of elements"
msgstr "'x' É 'p' ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÉÎÁËÏ×ÏÅ ËÏÌÉÞÅÓÔ×Ï ÓÔÒÏË"
msgid "probabilities must be non-negative."
msgstr "×ÅÒÏÑÔÎÏÓÔÉ ÄÏÌÖÎÙ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍÉ."
msgid "probabilities must sum to 1."
msgstr "×ÅÒÏÑÔÎÏÓÔÉ ÄÏÌÖÎÙ × ÓÕÍÍÅ ÄÁ×ÁÔØ 1."
msgid "Chi-squared approximation may be incorrect"
msgstr "ÁÐÐÒÏËÓÉÍÁÃÉÑ ÎÁ ÏÓÎÏ×Å ÈÉ-Ë×ÁÄÒÁÔ ÍÏÖÅÔ ÂÙÔØ ÎÅÐÒÁ×ÉÌØÎÏÊ"
msgid "NA values not allowed in 'd'"
msgstr "NA × 'd' ÎÅ ÒÁÚÒÅÛÅÎÙ"
msgid "eig=TRUE is disregarded when list.=FALSE"
msgstr "eig=TRUE ÎÅ ÒÁÂÏÔÁÅÔ, ÅÓÌÉ list.=FALSE"
msgid "x.ret=TRUE is disregarded when list.=FALSE"
msgstr "x.ret=TRUE ÎÅ ÒÁÂÏÔÁÅÔ, ÅÓÌÉ list.=FALSE"
msgid "distances must be result of 'dist' or a square matrix"
msgstr "ÒÁÓÓÔÏÑÎÉÑ ÄÏÌÖÎÙ ÂÙÔØ ÒÅÚÕÌØÔÁÔÏÍ 'dist' ÉÌÉ Ë×ÁÄÒÁÔÎÏÊ ÍÁÔÒÉÃÅÊ"
msgid "invalid value of %s"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÚÎÁÞÅÎÉÅ %s"
msgid "'k' must be in {1, 2, .. n - 1}"
msgstr "'k' ÄÏÌÖÅÎ ÂÙÔØ ÉÚ {1, 2, .. n - 1}"
msgid "only %d of the first %d eigenvalues are > 0"
msgstr "ÔÏÌØËÏ %d ÉÚ ÐÅÒ×ÙÈ %d ÓÏÂÓÔ×ÅÎÎÙÈ ÚÎÁÞÅÎÉÊ > 0"
msgid "package 'MASS' must be installed"
msgstr "ÎÕÖÎÏ ÕÓÔÁÎÏ×ÉÔØ ÐÁËÅÔ 'MASS'"
msgid "initial value is not in the interior of the feasible region"
msgstr "ÎÁÞÁÌØÎÏÅ ÚÎÁÞÅÎÉÅ ÎÅ Ñ×ÌÑÅÔÓÑ ×ÎÕÔÒÅÎÎÉÍ × ÄÏÐÕÓÔÉÍÏÍ ÒÅÇÉÏÎÅ"
msgid "Barrier algorithm ran out of iterations and did not converge"
msgstr "Barrier ÁÌÇÏÒÉÔÍ ×ÙÛÅÌ ÚÁ ÐÒÅÄÅÌÙ ÉÔÅÒÁÃÉÊ É ÎÅ ÓÈÏÄÉÔÓÑ"
msgid "Objective function increased at outer iteration %d"
msgstr "ïÂßÅËÔÎÁÑ ÆÕÎËÃÉÑ Õ×ÅÌÉÞÉÌÁÓØ ÐÏÓÌÅ ×ÎÅÛÎÅÊ ÉÔÅÒÁÃÉÉ %d"
msgid "Objective function decreased at outer iteration %d"
msgstr "ïÂßÅËÔÎÁÑ ÆÕÎËÃÉÑ ÕÍÅÎØÛÉÌÁÓØ ÐÏÓÌÅ ×ÎÅÛÎÅÊ ÉÔÅÒÁÃÉÉ %d"
msgid "contrasts not defined for %d degrees of freedom"
msgstr "ÄÌÑ %d ÓÔÅÐÅÎÅÊ Ó×ÏÂÏÄÙ ËÏÎÔÒÁÓÔÙ ÎÅ ÏÐÒÅÄÅÌÅÎÙ"
msgid ""
"orthogonal polynomials cannot be represented accurately enough for %d "
"degrees of freedom"
msgstr ""
"ÏÒÔÏÇÏÎÁÌØÎÙÅ ÍÎÏÇÏÞÌÅÎÙ ÎÅ ÍÏÇÕÔ ÂÙÔØ ÄÏÓÔÁÔÏÞÎÏ ÁËËÕÒÁÔÎÏ ÐÒÅÄÓÔÁ×ÌÅÎÙ ÄÌÑ "
"%d ÓÔÅÐÅÎÅÊ Ó×ÏÂÏÄÙ"
msgid "'scores' argument is of the wrong length"
msgstr "'scores' ÁÒÇÕÍÅÎÔ ÎÅÐÒÁ×ÉÌØÎÏÊ ÄÌÉÎÙ"
msgid "'scores' must all be different numbers"
msgstr "×ÓÅ 'scores' ÄÏÌÖÎÙ ÂÙÔØ ÒÁÚÎÙÍÉ ÞÉÓÌÁÍÉ"
msgid "'degree' must be at least 1"
msgstr "'degree' ÄÏÌÖÅÎ ÂÙÔØ ËÁË ÍÉÎÉÍÕÍ 1"
msgid "missing values are not allowed in 'poly'"
msgstr "ÐÒÏÐÕÝÅÎÎÙÅ ÚÎÁÞÅÎÉÑ ÎÅ ÒÁÚÒÅÛÅÎÙ × 'poly'"
msgid "'degree' must be less than number of unique points"
msgstr "'degree' ÄÏÌÖÅÎ ÂÙÔØ ÍÅÎØÛÅ ÞÅÍ ËÏÌÉÞÅÓÔ×Ï ÕÎÉËÁÌØÎÙÈ ÔÏÞÅË"
msgid "must supply one or more vectors"
msgstr "ÎÁÄÏ ÐÒÅÄÏÓÔÁ×ÉÔØ ÏÄÉÎ ÉÌÉ ÂÏÌÅÅ ×ÅËÔÏÒÏ×"
msgid "arguments must have the same length"
msgstr "ÁÒÇÕÍÅÎÔÙ ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÎÕ ÄÌÉÎÕ"
msgid "wrong number of columns in new data:"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ËÏÌÉÞÅÓÔ×Ï ËÏÌÏÎÏË ÎÏ×ÙÈ ÄÁÎÎÙÈ:"
msgid "contrasts apply only to factors"
msgstr "ËÏÎÔÒÁÓÔÙ ÐÒÉÍÅÎÑÀÔÓÑ ÌÉÛØ Ë ÆÁËÔÏÒÁÍ"
msgid "contrasts can be applied only to factors with 2 or more levels"
msgstr "ËÏÎÔÒÁÓÔÙ ÍÏÇÕÔ ÐÒÉÍÅÎÑÔØÓÑ ÔÏÌØËÏ Ë ÆÁËÔÏÒÁÍ Ó Ä×ÕÍÑ É ÂÏÌÅÅ ÕÒÏ×ÎÑÍÉ"
msgid "wrong number of contrast matrix rows"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ËÏÌÉÞÅÓÔ×Ï ÓÔÒÏË × ÍÁÔÒÉÃÅ ËÏÎÔÒÁÓÔÏ×"
msgid "singular contrast matrix"
msgstr "ÓÉÎÇÕÌÑÒÎÁÑ ÍÁÔÒÉÃÁ ËÏÎÔÒÁÓÔÏ×"
msgid "numeric contrasts or contrast name expected"
msgstr "ÏÖÉÄÁÀÔÓÑ ÞÉÓÌÏ×ÙÅ ËÏÎÔÒÁÓÔÙ ÉÌÉ ÉÍÑ ËÏÎÔÒÁÓÔÁ"
msgid "%s needs package 'Matrix' correctly installed"
msgstr "%s ÔÒÅÂÕÅÔ ÐÒÁ×ÉÌØÎÏ ÕÓÔÁÎÏ×ÌÅÎÎÏÇÏ ÐÁËÅÔÁ 'Matrix'"
msgid "not enough degrees of freedom to define contrasts"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÓÔÅÐÅÎÅÊ Ó×ÏÂÏÄÙ, ÞÔÏÂÙ ÏÐÒÅÄÅÌÉÔØ ËÏÎÔÒÁÓÔÙ"
msgid "baseline group number out of range"
msgstr "ÎÏÍÅÒ ÂÁÚÏ×ÏÊ ÇÒÕÐÐÙ -- ×ÎÅ ÄÉÁÐÁÚÏÎÁ"
msgid "invalid 'use' argument"
msgstr "ÎÅÄÏÐÕÓÔÉÍÙÊ ÁÒÇÕÍÅÎÔ 'use'"
msgid "supply both 'x' and 'y' or a matrix-like 'x'"
msgstr "ÕËÁÖÉÔÅ É 'x', É 'y' ÉÌÉ ÍÁÔÒÉÃÅ-ÐÏÄÏÂÎÙÊ 'x'"
msgid "'y' must be numeric"
msgstr "'y' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏÍ"
msgid "'x' is empty"
msgstr "'x' ÐÕÓÔÏ"
msgid "both 'x' and 'y' must be non-empty"
msgstr "ÄÌÉÎÙ 'x' É 'y' ÄÏÌÖÎÙ ÂÙÔØ ÎÅÐÕÓÔÙ"
msgid "cannot handle 'pairwise.complete.obs'"
msgstr "ÎÅ ÍÏÇÕ ÏÂÒÁÂÏÔÁÔØ 'pairwise.complete.obs'"
msgid "'V' is not a square numeric matrix"
msgstr "'V' ÎÅ Ñ×ÌÑÅÔÓÑ Ë×ÁÄÒÁÔÎÏÊ ÞÉÓÌÏ×ÏÊ ÍÁÔÒÉÃÅÊ"
msgid "diag(.) had 0 or NA entries; non-finite result is doubtful"
msgstr "Õ diag(.) 0 ÉÌÉ NA ×ÈÏÖÄÅÎÉÊ; ÎÅ-ËÏÎÅÞÎÙÊ ÒÅÚÕÌØÔÁÔ ÓÏÍÎÉÔÅÌÅÎ"
msgid "'x' must be a numeric vector"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏ×ÙÍ ×ÅËÔÏÒÏÍ"
msgid "'y' must be a numeric vector"
msgstr "'y' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏ×ÙÍ ×ÅËÔÏÒÏÍ"
msgid "not enough finite observations"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ËÏÎÅÞÎÙÈ ÎÁÂÌÀÄÅÎÉÊ"
msgid "Cannot compute exact p-value with ties"
msgstr "åÓÔØ ÓÏ×ÐÁÄÁÀÝÉÅ ÚÎÁÞÅÎÉÑ: ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ÔÏÞÎÏÅ p-ÚÎÁÞÅÎÉÅ"
msgid "'formula' missing or invalid"
msgstr "'formula' ÐÒÏÐÕÝÅÎÁ ÌÉÂÏ ÎÅÐÒÁ×ÉÌØÎÁÑ"
msgid "invalid formula"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÆÏÒÍÕÌÁ"
msgid "'x' must be a matrix or a data frame"
msgstr "'x' ÄÏÌÖÎÁ ÂÙÔØ ÍÁÔÒÉÃÅÊ ÉÌÉ ÔÁÂÌÉÃÅÊ ÄÁÎÎÙÈ"
msgid "'x' must contain finite values only"
msgstr "'x' ÄÏÌÖÎÁ ÓÏÄÅÒÖÁÔØ ÔÏÌØËÏ ËÏÎÅÞÎÙÅ ÚÎÁÞÅÎÉÑ"
msgid "length of 'wt' must equal the number of rows in 'x'"
msgstr "ÄÌÉÎÁ 'wt' ÄÏÌÖÎÁ ÂÙÔØ ÒÁ×ÎÁ ËÏÌÉÞÅÓÔ×Õ ÓÔÒÏË × 'x'"
msgid "weights must be non-negative and not all zero"
msgstr "×ÓÅ ×ÅÓÁ ÄÏÌÖÎÙ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍÉ É ÎÅ ×ÓÅ -- ÎÕÌÅ×ÙÍÉ"
msgid "length of 'center' must equal the number of columns in 'x'"
msgstr "ÄÌÉÎÁ 'center' ÄÏÌÖÎÁ ÒÁ×ÎÑÔØÓÑ ËÏÌÉÞÅÓÔ×Õ ËÏÌÏÎÏË × 'x'"
msgid "invalid 'tree' ('merge' component)"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ 'tree' (ËÏÍÐÏÎÅÎÔ 'merge')"
msgid "either 'k' or 'h' must be specified"
msgstr "ÌÉÂÏ 'k', ÌÉÂÏ 'h' ÎÕÖÎÏ ÕËÁÚÁÔØ"
msgid "the 'height' component of 'tree' is not sorted (increasingly)"
msgstr "Õ 'tree' ËÏÍÐÏÎÅÎÔ 'height' ÎÅ ÓÏÒÔÉÒÏ×ÁÎ (ÐÏ ×ÏÚÒÁÓÔÁÎÉÀ)"
msgid "elements of 'k' must be between 1 and %d"
msgstr "ÜÌÅÍÅÎÔÙ 'k' ÄÏÌÖÎÙ ÂÙÔØ ÍÅÖÄÕ 1 É %d"
msgid ""
"dendrogram entries must be 1,2,..,%d (in any order), to be coercible to "
"\"hclust\""
msgstr ""
"ÜÌÅÍÅÎÔÙ ÄÅÎÄÒÏÇÒÁÍÍÙ ÄÏÌÖÎÙ ÂÙÔØ 1,2,..,%d (× ÌÀÂÏÍ ÐÏÒÑÄËÅ) ÞÔÏÂÙ ÂÙÌÏ "
"×ÏÚÍÏÖÎÙÍ \"hclust\""
msgid "dendrogram node with non-positive #{branches}"
msgstr "ÕÚÅÌ ÄÅÎÄÒÏÇÒÁÍÍÙ Ó ÎÅÐÏÌÏÖÉÔÅÌØÎÙÍÉ #{branches}"
msgid "midcache() of non-binary dendrograms only partly implemented"
msgstr "midcache() ÄÌÑ ÎÅÂÉÎÁÒÎÙÈ ÄÅÎÄÒÏÇÒÁÍÍ ÒÅÁÌÉÚÏ×ÁÎ ÌÉÛØ ÞÁÓÔÉÞÎÏ"
msgid "non-leaf subtree of length 0"
msgstr "ÂÅÚÌÉÓÔÎÏÅ ÄÅÒÅ×Ï ÎÕÌÅ×ÏÊ ÄÌÉÎÙ"
msgid "'order.dendrogram' requires a dendrogram"
msgstr "'order.ÄÅÎÄÒÏÇÒÁÍÍÁ' ÔÒÅÂÕÅÔ ÄÅÎÄÒÏÇÒÁÍÍÕ"
msgid "'reorder.dendrogram' requires a dendrogram"
msgstr "'order.dendrogram' ÈÏÞÅÔ ÄÅÎÄÒÏÇÒÁÍÍÕ"
msgid "invalid (length 0) node in dendrogram"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ (ÄÌÉÎÁ = 0) ÕÚÅÌ ÄÅÎÄÒÏÇÒÁÍÍÙ"
msgid "dendrogram non-leaf node with non-positive #{branches}"
msgstr "ÂÅÚÌÉÓÔÎÙÊ ÕÚÅÌ ÄÅÎÄÒÏÇÒÁÍÍÙ Ó ÎÅÐÏÌÏÖÉÔÅÌØÎÙÍÉ #{branches}"
msgid "'height' must be at least %g, the maximal height of its components"
msgstr ""
"'height' ÄÏÌÖÅÎ ÂÙÔØ ÐÏ ÍÅÎØÛÅÊ ÍÅÒÅ %g (ÍÁËÓÉÍÁÌØÎÁÑ ×ÙÓÏÔÁ ÏÔÄÅÌØÎÙÈ "
"ËÏÍÐÏÎÅÎÔ)"
msgid "'X' is not a dendrogram"
msgstr "'X' ÎÅ Ñ×ÌÑÅÔÓÑ ÄÅÎÄÒÏÇÒÁÍÍÏÊ"
msgid "'x' must be a numeric matrix"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏ×ÏÊ ÍÁÔÒÉÃÅÊ"
msgid "'x' must have at least 2 rows and 2 columns"
msgstr "'x' ÄÏÌÖÅÎ ÉÍÅÔØ ËÁË ÍÉÎÉÍÕÍ 2 ÓÔÒÏËÉ É 2 ËÏÌÏÎËÉ"
msgid "'margins' must be a numeric vector of length 2"
msgstr "'margins' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏ×ÙÍ ×ÅËÔÏÒÏÍ ÄÌÉÎÙ 2"
msgid "row dendrogram ordering gave index of wrong length"
msgstr "ÕÐÏÒÑÄÏÞÉ×ÁÎÉÅ ÓÔÒÏË ÄÅÎÄÒÏÇÒÁÍÍÙ ÄÁÌÏ ÉÎÄÅËÓ ÎÅÐÒÁ×ÉÌØÎÏÊ ÄÌÉÎÙ"
msgid "Colv = \"Rowv\" but nrow(x) != ncol(x)"
msgstr "Colv = \"Rowv\", ÎÏ nrow(x) != ncol(x)"
msgid "column dendrogram ordering gave index of wrong length"
msgstr "ÕÐÏÒÑÄÏÞÉ×ÁÎÉÅ ËÏÌÏÎÏË ÄÅÎÄÒÏÇÒÁÍÍÙ ÄÁÌÏ ÉÎÄÅËÓ ÎÅÐÒÁ×ÉÌØÎÏÊ ÄÌÉÎÙ"
msgid "'ColSideColors' must be a character vector of length ncol(x)"
msgstr "'ColSideColors' ÄÏÌÖÅÎ ÂÙÔØ ÔÅËÓÔÏ×ÙÍ ×ÅËÔÏÒÏÍ Ó ÄÌÉÎÏÊ = ncol(x)"
msgid "'RowSideColors' must be a character vector of length nrow(x)"
msgstr "'RowSideColors' ÄÏÌÖÅÎ ÂÙÔØ ÔÅËÓÔÏ×ÙÍ ×ÅËÔÏÒÏÍ Ó ÄÌÉÎÏÊ = nrow(x)"
msgid "argument 'x' must be numeric"
msgstr "ÁÒÇÕÍÅÎÔ 'x' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏ×ÙÍ"
msgid "'x' contains missing values"
msgstr "'x' ÓÏÄÅÒÖÉÔ ÐÒÏÐÕÝÅÎÎÙÅ ÚÎÁÞÅÎÉÑ"
msgid "'x' and 'weights' have unequal length"
msgstr "'x' É 'weights' ÉÍÅÀÔ ÎÅÒÁ×ÎÕÀ ÄÌÉÎÕ"
msgid "'weights' must all be finite"
msgstr "×ÓÅ 'weights' ÄÏÌÖÎÙ ÂÙÔØ ËÏÎÅÞÎÙÍÉ"
msgid "'weights' must not be negative"
msgstr "'weights' ÎÅ ÄÏÌÖÎÙ ÂÙÔØ ÏÔÒÉÃÁÔÅÌØÎÙÍÉ"
msgid "sum(weights) != 1 -- will not get true density"
msgstr "sum(weights) != 1 -- ÎÅ ÉÓÔÉÎÎÏÊ ÐÌÏÔÎÏÓÔÉ ÎÅ ÂÕÄÅÔ"
msgid "need at least 2 points to select a bandwidth automatically"
msgstr "ÎÕÖÎÙ ËÁË ÍÉÎÉÍÕÍ 2 ÔÏÞËÉ, ÞÔÏÂÙ ×ÙÂÒÁÔØ ÄÉÁÐÁÚÏÎ Á×ÔÏÍÁÔÉÞÅÓËÉ"
msgid "unknown bandwidth rule"
msgstr "ÎÅÉÚ×ÅÓÔÎÏÅ ÐÒÁ×ÉÌÏ ÄÉÁÐÁÚÏÎÁ"
msgid "non-finite 'bw'"
msgstr "ÎÅ-ËÏÎÅÞÎÙÊ 'bw'"
msgid "'bw' is not positive."
msgstr "'bw' ÎÅÐÏÌÏÖÉÔÅÌØÎÙÊ."
msgid "non-finite 'from'"
msgstr "ÎÅ ËÏÎÅÞÎÙÊ 'from'"
msgid "non-finite 'to'"
msgstr "ÎÅ ËÏÎÅÞÎÙÊ 'to'"
msgid "invalid formula in deriv"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÆÏÒÍÕÌÁ × 'deriv'"
msgid "'x' is not a vector"
msgstr "'x' -- ÎÅ ×ÅËÔÏÒ"
msgid "bad value for 'lag' or 'differences'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÚÎÁÞÅÎÉÅ 'lag' ÉÌÉ 'differences'"
msgid "'xi' does not have the right length"
msgstr "'xi' ÎÅÐÒÁ×ÉÌØÎÏÊ ÄÌÉÎÙ"
msgid "incorrect dimensions for 'xi'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÅ ÉÚÍÅÒÅÎÉÑ Õ 'xi'"
msgid "'x' is not a vector or matrix"
msgstr "'x' ÎÅ Ñ×ÌÑÅÔÓÑ ×ÅËÔÏÒÏÍ ÉÌÉ ÍÁÔÒÉÃÅÊ"
msgid "invalid distance method"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÍÅÔÏÄ ÐÏÄÓÞÅÔÁ ÒÁÓÓÔÏÑÎÉÊ"
msgid "ambiguous distance method"
msgstr "ÓÏÍÎÉÔÅÌØÎÙÊ ÍÅÔÏÄ ÐÏÄÓÞÅÔÁ ÒÁÓÓÔÏÑÎÉÊ"
msgid "non-square matrix"
msgstr "ÎÅ-Ë×ÁÄÒÁÔÎÁÑ ÍÁÔÒÉÃÁ"
msgid "specify 'rate' or 'scale' but not both"
msgstr "ÏÐÒÅÄÅÌÉÔÅ 'rate' ÉÌÉ 'scale', ÎÏ ÎÅ ÏÂÁ"
msgid "x[] and prob[] must be equal length vectors."
msgstr "x[] É prob[] ÄÏÌÖÎÙ ×ÅËÔÏÒÁÍÉ ÏÄÉÎÁËÏ×ÏÊ ÄÌÉÎÙ."
msgid "probabilities must be finite, non-negative and not all 0"
msgstr ""
"×ÅÒÏÑÔÎÏÓÔÉ ÄÏÌÖÎÙ ÂÙÔØ ËÏÎÅÞÎÙÍÉ, ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍÉ É ÈÏÔÑ ÂÙ ÎÅËÏÔÏÒÙÅ "
"ÎÅÎÕÌÅ×ÙÍÉ"
msgid "'x' must be non-negative"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍ"
msgid "size != sum(x), i.e. one is wrong"
msgstr "size != sum(x), Ô.Å. ÏÄÎÏ ÎÅÐÒÁ×ÉÌØÎÏ"
msgid "'prob' and 'mu' both specified"
msgstr "'prob' É 'mu' -- ÕËÁÚÁÎÙ ÏÂÁ"
msgid "some terms will have NAs due to the limits of the method"
msgstr "× ÎÅËÏÔÏÒÙÈ ×ÙÒÁÖÅÎÉÑÈ ÂÕÄÕÔ NA ×ÓÌÅÄÓÔ×ÉÅ ÏÇÒÁÎÉÞÅÎÉÊ ÍÅÔÏÄÁ"
msgid "multivariate case with missing coefficients is not yet implemented"
msgstr "ÍÎÏÇÏÍÅÒÎÙÊ ×ÁÒÉÁÎÔ Ó ÐÒÏÐÕÝÅÎÎÙÍÉ ËÏÜÆÆÉÃÉÅÎÔÁÍÉ ÐÏËÁ ÎÅ ÒÁÚÒÁÂÏÔÁÎ"
msgid "'x' must have 1 or more non-missing values"
msgstr "'x' ÄÏÌÖÅÎ ÉÍÅÔØ 1 ÉÌÉ ÂÏÌÅÅ ÎÅÐÒÏÐÕÝÅÎÎÙÈ ÚÎÁÞÅÎÉÊ"
msgid "wrong embedding dimension"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ×ÓÔÒÏÅÎÎÏÅ ÉÚÍÅÒÅÎÉÅ"
msgid "'covmat' is not a valid covariance list"
msgstr "'covmat' ÎÅ Ñ×ÌÑÅÔÓÑ ÐÒÁ×ÉÌØÎÙÍ ÓÐÉÓËÏÍ ËÏ×ÁÒÉÁÃÉÊ"
msgid "neither 'x' nor 'covmat' supplied"
msgstr "ÎÅ ÄÁÎÏ ÎÉ 'x', ÎÉ 'covmat'"
msgid "response not allowed in formula"
msgstr "ÏÔËÌÉË ÎÅ ÒÁÚÒÅÛÅÎ × ÆÏÒÍÕÌÅ"
msgid "factor analysis applies only to numerical variables"
msgstr "ÆÁËÔÏÒÎÙÊ ÁÎÁÌÉÚ ÐÒÉÍÅÎÉÍ ÔÏÌØËÏ Ë ÞÉÓÌÏ×ÙÍ ÐÅÒÅÍÅÎÎÙÍ"
msgid "'covmat' is of unknown type"
msgstr "'covmat' ÎÅÉÚ×ÅÓÔÎÏÇÏ ÔÉÐÁ"
msgid "requested scores without an 'x' matrix"
msgstr "ÚÁÐÒÏÛÅÎÎÙÅ ×ËÌÁÄÙ ÂÅÚ ÍÁÔÒÉÃÙ 'x'"
msgid "factor analysis requires at least three variables"
msgstr "ÆÁËÔÏÒÎÙÊ ÁÎÁÌÉÚ ÔÒÅÂÕÅÔ ËÁË ÍÉÎÉÍÕÍ ÔÒÉ ÐÅÒÅÍÅÎÎÙÅ"
msgid "no starting values supplied"
msgstr "ÎÅ ÕËÁÚÁÎÏ ÓÔÁÒÔÏ×ÏÅ ÚÎÁÞÅÎÉÅ"
msgid "invalid argument 'lambda'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'lambda'"
msgid "%s link not recognised"
msgstr "%s ÓÓÙÌËÁ ÎÅ ÒÁÓÐÏÚÎÁÎÁ"
#, fuzzy
msgid "link \"%s\" not available for %s family; available links are %s"
msgstr ""
"ÆÕÎËÃÉÑ Ó×ÑÚÉ \"%s\" ÎÅÄÏÓÔÕÐÎÁ ÄÌÑ ÐÕÁÓÓÏÎÏ×ÓËÏÇÏ ÓÅÍÅÊÓÔ×Á; ÄÏÓÔÕÐÎÙ "
"ÆÕÎËÃÉÉ %s"
msgid "negative values not allowed for the 'Poisson' family"
msgstr "ÏÔÒÉÃÁÔÅÌØÎÙÅ ÚÎÁÞÅÎÉÑ × ÐÕÁÓÓÏÎÏ×ÓËÏÍ ÓÅÍÅÊÓÔ×Å ÎÅ ÒÁÚÒÅÛÅÎÙ"
msgid "ignoring prior weights"
msgstr "ÉÇÎÏÒÉÒÕÀ ÁÐÒÉÏÒÎÙÅ ×ÅÓÁ"
msgid "negative values not allowed for the 'quasiPoisson' family"
msgstr "ÏÔÒÉÃÁÔÅÌØÎÙÅ ÚÎÁÞÅÎÉÑ ÄÌÑ Ë×ÁÚÉ-ÐÕÁÓÓÏÎÏ×ÓËÏÇÏ ÓÅÍÅÊÓÔ×Á ÎÅ ÒÁÚÒÅÛÅÎÙ"
msgid "cannot find valid starting values: please specify some"
msgstr ""
"ÎÅ ÍÏÇÕ ÎÁÊÔÉ ÐÒÁ×ÉÌØÎÏÅ ÓÔÁÒÔÏ×ÏÅ ÚÎÁÞÅÎÉÅ: ÐÏÖÁÌÕÊÓÔÁ, ÕËÁÖÉÔÅ ËÁËÏÅ-ÎÉÂÕÄØ"
msgid "y values must be 0 <= y <= 1"
msgstr "ÚÎÁÞÅÎÉÑ y ÄÏÌÖÎÙ ÂÙÔØ 0 <= y <= 1"
#, fuzzy
msgid "non-integer #successes in a %s glm!"
msgstr "ÎÅ ÃÅÌÏÞÉÓÌÅÎÎÙÅ #successes × ÂÉÎÏÍÉÁÌØÎÏÍ 'glm'!"
#, fuzzy
msgid "non-integer counts in a %s glm!"
msgstr "ÎÅ ÃÅÌÏÞÉÓÌÅÎÎÙÅ ÓÞÅÔÞÉËÉ × ÂÉÎÏÍÉÁÌØÎÏÍ 'glm'!"
#, fuzzy
msgid ""
"for the '%s' family, y must be a vector of 0 and 1's\n"
"or a 2 column matrix where col 1 is no. successes and col 2 is no. failures"
msgstr ""
"ÄÌÑ ÓÅÍÅÊÓÔ×Á 'binomial', y ÄÏÌÖÅÎ ÂÙÔØ ×ÅËÔÏÒÏÍ ÉÚ ÎÕÌÅÊ É ÅÄÉÎÉÃ\n"
"ÉÌÉ Ä×ÕÈËÏÌÏÎÎÏÊ ÍÁÔÒÉÃÅÊ, ÇÄÅ ËÏÌÏÎËÁ 1 -- ÜÔÏ ËÏÌÉÞÅÓÔ×Ï ÕÓÐÅÈÏ×, Á "
"ËÏÌÏÎËÁ 2 -- ËÏÌÉÞÅÓÔ×Ï ÎÅÕÄÁÞ"
msgid "cannot simulate from non-integer prior.weights"
msgstr "ÎÅ ÍÏÇÕ ÐÒÏÍÏÄÅÌÉÒÏ×ÁÔØ ÉÓÈÏÄÑÔ ÉÚ ÎÅÞÉÓÌÏ×ÙÈ prior.weights"
#, fuzzy
msgid "non-positive values not allowed for the 'Gamma' family"
msgstr "ÎÅÐÏÌÏÖÉÔÅÌØÎÙÅ ÚÎÁÞÅÎÉÑ ÎÅ ÒÁÚÒÅÛÅÎÙ ÄÌÑ ÇÁÍÍÁ-ÓÅÍÅÊÓÔ×Á"
msgid "using weights as shape parameters"
msgstr "ÉÓÐÏÌØÚÕÀ ×ÅÓÁ × ËÁÞÅÓÔ×Å ÐÁÒÁÍÅÔÒÏ× ÆÏÒÍÙ"
msgid "positive values only are allowed for the 'inverse.gaussian' family"
msgstr ""
"ÔÏÌØËÏ ÐÏÌÏÖÉÔÅÌØÎÙÅ ÚÎÁÞÅÎÉÑ ÒÁÚÒÅÛÅÎÙ ÄÌÑ ÏÂÒÁÔÎÏ-ÇÁÕÓÓÏ×ÏÇÏ ÓÅÍÅÊÓÔ×Á"
msgid ""
"need CRAN package 'SuppDists' for simulation from the 'inverse.gaussian' "
"family"
msgstr ""
"ÄÌÑ ÓÉÍÕÌÑÃÉÉ ÐÒÉ ÐÏÍÏÝÉ ÓÅÍÅÊÓÔ×Á 'inverse.gaussian' ÎÕÖÅÎ ÐÁËÅÔ "
"'SuppDists' ÉÚ CRAN"
msgid "using weights as inverse variances"
msgstr "ÉÓÐÏÌØÚÕÀ ×ÅÓÁ × ËÁÞÅÓÔ×Å ÏÂÒÁÔÎÙÈ Ë ÄÉÓÐÅÒÓÉÑÍ"
msgid ""
"'variance' \"%s\" is invalid: possible values are \"mu(1-mu)\", \"mu\", "
"\"mu^2\", \"mu^3\" and \"constant\""
msgstr ""
"'variance' \"%s\" ÎÅÐÒÁ×ÉÌØÎÁÑ: ×ÏÚÍÏÖÎÙÅ ÚÎÁÞÅÎÉÑ: \"mu(1-mu)\", \"mu\", "
"\"mu^2\", \"mu^3\" É \"constant\""
msgid "length mismatch in convolution"
msgstr "ÎÅÓÏÏÔ×ÅÔÓÔ×ÉÅ ÄÌÉÎÙ × Ó×ÅÒÔËÅ"
msgid "missing values in 'filter'"
msgstr "ÐÒÏÐÕÝÅÎÎÙÅ ÚÎÁÞÅÎÉÑ × 'filter'"
msgid "'filter' is longer than time series"
msgstr "'filter' ÄÌÉÎÎÅÅ ÞÅÍ ×ÒÅÍÅÎÎÏÊ ÒÑÄ"
msgid "argument 'sides' must be 1 or 2"
msgstr "ÁÒÇÕÍÅÎÔ 'sides' ÄÏÌÖÅÎ ÂÙÔØ 1 ÉÌÉ 2"
msgid "'circular' must be logical and not NA"
msgstr "'circular' ÄÏÌÖÅÎ ÂÙÔØ ÌÏÇÉÞÅÓËÉÍ É ÎÅ NA"
msgid "length of 'init' must equal length of 'filter'"
msgstr "ÄÌÉÎÁ 'init' ÄÏÌÖÎÁ ÒÁ×ÎÑÔØÓÑ ÄÌÉÎÅ 'filter'"
msgid "'x' must have at least 2 rows and columns"
msgstr "'x' ÄÏÌÖÅÎ ÉÍÅÔØ ÐÏ ËÒÁÊÎÅÊ ÍÅÒÅ 2 ÓÔÒÏËÉ É ËÏÌÏÎËÉ"
msgid "'x' has entries too large to be integer"
msgstr "Õ 'x' ÅÓÔØ ÜÌÅÍÅÎÔÙ, ÓÌÉÛËÏÍ ÂÏÌØÛÉÅ ÞÔÏÂÙ ÂÙÔØ ÃÅÌÙÍÉ"
msgid "'x' has been rounded to integer: %s"
msgstr "'x' ÂÙÌ ÏËÒÕÇÌÅÎ ÄÏ ÃÅÌÏÇÏ: %s"
msgid "if 'x' is not a matrix, 'y' must be given"
msgstr "ÅÓÌÉ 'x' -- ÎÅ ÍÁÔÒÉÃÁ, ÔÏ ÎÕÖÎÏ ÚÁÄÁÔØ 'y'"
msgid "'mult' must be integer >= 2, typically = 30"
msgstr "'mult' ÄÏÌÖÅÎ ÂÙÔØ ÃÅÌÙÍ >= 2, ÏÂÙÞÎÏ = 30"
msgid "alternative must be \"two.sided\", \"less\" or \"greater\""
msgstr "ÁÌØÔÅÒÎÁÔÉ×Á ÄÏÌÖÎÁ ÂÙÔØ \"two.sided\", \"less\" ÉÌÉ \"greater\""
msgid "'or' must be a single number between 0 and Inf"
msgstr "'conf.level' ÄÏÌÖÅÎ ÂÙÔØ ÏÄÎÉÍ ÞÉÓÌÏÍ ÍÅÖÄÕ 0 É 1"
msgid "need 2 or more non-zero row marginals"
msgstr "ÎÕÖÎÏ 2 ÉÌÉ ÂÏÌÅÅ ÎÅÎÕÌÅ×ÙÈ ËÒÁÅ× ÓÔÒÏË"
msgid "need 2 or more non-zero column marginals"
msgstr "ÎÕÖÎÏ 2 ÉÌÉ ÂÏÌÅÅ ÎÅÎÕÌÅ×ÙÈ ËÒÁÅ× ËÏÌÏÎÏË"
msgid "names(hybridPars) should be NULL or be identical to the default's"
msgstr "names(hybridPars) ÄÏÌÖÅÎ ÂÙÔØ NULL ÉÌÉ ÔÁËÏÊ ÖÅ, ËÁË ÕÍÏÌÞÁÎÉÑ"
msgid "'hybrid' is ignored for a 2 x 2 table"
msgstr "'hybrid' ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎ ÄÌÑ ÔÁÂÌÉÃÙ 2 x 2"
msgid "all groups must contain data"
msgstr "×ÓÅ ÇÒÕÐÐÙ ÄÏÌÖÎÙ ÓÏÄÅÒÖÁÔØ ÄÁÎÎÙÅ"
msgid "not enough observations"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÎÁÂÌÀÄÅÎÉÊ"
msgid "data are essentially constant"
msgstr "ÄÁÎÎÙÅ ÁÂÓÏÌÀÔÎÏ ËÏÎÓÔÁÎÔÎÙ"
msgid "NA's are not allowed in 'groups' or 'blocks'"
msgstr "NAs ÎÅ ÒÁÚÒÅÛÅÎÙ × 'groups' É 'blocks'"
msgid "'y', 'groups' and 'blocks' must have the same length"
msgstr "'y', 'groups' É 'blocks' ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÎÕ ÄÌÉÎÕ"
msgid "not an unreplicated complete block design"
msgstr "ÎÅ ÎÅÒÅÐÌÉÃÉÒÏ×ÁÎÎÙÊ ÐÏÌÎÏÂÌÏÞÎÙÊ ÄÉÚÁÊÎ"
msgid "formula missing"
msgstr "'formula' ÐÒÏÐÕÝÅÎÁ"
msgid "incorrect specification for 'formula'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÏÐÒÅÄÅÌÅÎÉÅ 'formula'"
msgid "nothing to tabulate"
msgstr "ÎÅÞÅÇÏ ÔÁÂÕÌÉÒÏ×ÁÔØ"
msgid "incorrect specification for 'row.vars'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÕËÁÚÁÎÉÅ 'row.vars'"
msgid "incorrect specification for 'col.vars'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÕËÁÚÁÎÉÅ 'col.vars'"
msgid "interactions are not allowed"
msgstr "×ÚÁÉÍÏÄÅÊÓÔ×ÉÑ ÎÅ ÒÁÚÒÅÛÅÎÙ"
msgid "'formula' has '.' in both left and right hand sides"
msgstr "Õ 'formula' ÅÓÔØ '.' É ÓÌÅ×Á, É ÓÐÒÁ×Á"
msgid "incorrect variable names in rhs of formula"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÅ ÉÍÅÎÁ ÐÅÒÅÍÅÎÎÙÈ × ÐÒÁ×ÏÊ ÞÁÓÔÉ ÆÏÒÍÕÌÙ"
msgid "incorrect variable names in lhs of formula"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÅ ÉÍÅÎÁ ÐÅÒÅÍÅÎÎÙÈ × ÌÅ×ÏÊ ÞÁÓÔÉ ÆÏÒÍÕÌÙ"
msgid "cannot use dots in formula with given data"
msgstr "ÎÅ ÍÏÇÕ ÉÓÐÏÌØÚÏ×ÁÔØ ÔÏÞËÉ × ÆÏÒÍÕÌÅ Ó ÚÁÄÁÎÎÏÊ ÔÁÂÌÉÃÅÊ ÄÁÎÎÙÈ"
msgid "'x' must be an \"ftable\" object"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÏÂßÅËÔÏÍ \"ftable\""
msgid "wrong method"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÍÅÔÏÄ"
msgid "'file' must be a character string or connection"
msgstr "'file' ÄÏÌÖÅÎ ÂÙÔØ ÔÅËÓÔÏ×ÏÊ ÓÔÒÏËÏÊ ÉÌÉ ÓÏÅÄÉÎÅÎÉÅÍ"
msgid "'row.var.names' missing"
msgstr "'row.var.names' ÐÒÏÐÕÝÅÎÙ"
msgid "'col.vars' missing or incorrect"
msgstr "'col.vars' ÐÒÏÐÕÝÅÎÙ ÉÌÉ ÎÅÐÒÁ×ÉÌØÎÙÅ"
msgid "'family' not recognized"
msgstr "'family' ÎÅ ÒÁÓÐÏÚÎÁÎÁ"
msgid "invalid 'method' argument"
msgstr "ÎÅÄÏÐÕÓÔÉÍÙÊ ÁÒÇÕÍÅÎÔ 'method'"
msgid "'weights' must be a numeric vector"
msgstr "'weights' ÄÏÌÖÎÙ ÂÙÔØ ÞÉÓÌÏ×ÙÍ ×ÅËÔÏÒÏÍ"
msgid "negative weights not allowed"
msgstr "ÏÔÒÉÃÁÔÅÌØÎÙÅ ×ÅÓÁ ÎÅ ÒÁÚÒÅÛÅÎÙ"
msgid "number of offsets is %d should equal %d (number of observations)"
msgstr "ËÏÌÉÞÅÓÔ×Ï ÓÍÅÝÅÎÉÊ %d, Á ÄÏÌÖÎÏ ÂÙÔØ %d (ËÏÌÉÞÅÓÔ×Ï ÎÁÂÌÀÄÅÎÉÊ)"
msgid ""
"fitting to calculate the null deviance did not converge -- increase 'maxit'?"
msgstr ""
"ÐÏÄÇÏÎËÁ ×ÙÞÉÓÌÅÎÉÑ ÎÕÌÅ×ÏÇÏ ÏÔËÌÏÎÅÎÉÑ ÎÅ ÓÏÛÌÁÓØ -- ÎÁÄÏ Õ×ÅÌÉÞÉÔØ 'maxit'?"
msgid "value of 'epsilon' must be > 0"
msgstr "ÚÎÁÞÅÎÉÅ 'epsilon' ÄÏÌÖÎÏ ÂÙÔØ > 0"
msgid "maximum number of iterations must be > 0"
msgstr "ÍÁËÓÉÍÁÌØÎÏÅ ËÏÌÉÞÅÓÔ×Ï ÉÔÅÒÁÃÉÊ ÄÏÌÖÎÏ ÂÙÔØ > 0"
msgid "'family' argument seems not to be a valid family object"
msgstr "ÁÒÇÕÍÅÎÔ 'family', ÐÏÈÏÖÅ, ÎÅ Ñ×ÌÑÅÔÓÑ ÐÒÁ×ÉÌØÎÙÍ ÏÂßÅËÔÏÍ-ÓÅÍÅÊÓÔ×ÏÍ"
msgid "invalid linear predictor values in empty model"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÌÉÎÅÊÎÙÊ ÐÒÅÄÉËÔÏÒ ÚÎÁÞÅÎÉÊ × ÐÕÓÔÏÊ ÍÏÄÅÌÉ"
msgid "invalid fitted means in empty model"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÅ ÐÏÄÏÇÎÁÎÎÙÅ ÓÒÅÄÎÉÅ × ÐÕÓÔÏÊ ÍÏÄÅÌÉ"
msgid ""
"length of 'start' should equal %d and correspond to initial coefs for %s"
msgstr "ÄÌÉÎÁ 'start' ÄÏÌÖÎÁ = %d É ÓÏÏÔ×ÅÔÓÔ×Ï×ÁÔØ ÎÁÞÁÌØÎÙÍ ËÏÜÆÆÉÃÉÅÎÔÁÍ %s"
msgid "NAs in V(mu)"
msgstr "NAs × V(mu)"
msgid "0s in V(mu)"
msgstr "îÕÌÉ × V(mu)"
msgid "NAs in d(mu)/d(eta)"
msgstr "NAs × d(mu)/d(eta)"
msgid "no observations informative at iteration %d"
msgstr "ÎÅÔ ÎÁÂÌÀÄÅÎÉÊ, ÉÎÆÏÒÍÁÔÉ×ÎÙÈ ÄÌÑ ÉÔÅÒÁÃÉÉ %d"
msgid "non-finite coefficients at iteration %d"
msgstr "ÎÅ-ËÏÎÅÞÎÙÅ ËÏÜÆÆÉÃÉÅÎÔÙ × ÉÔÅÒÁÃÉÉ %d"
msgid "singular fit encountered"
msgstr "ÏÂÎÁÒÕÖÅÎÏ ÓÉÎÇÕÌÑÒÎÏÅ ÓÇÌÁÖÉ×ÁÎÉÅ"
msgid ""
"no valid set of coefficients has been found: please supply starting values"
msgstr ""
"ÎÅ ÎÁÊÄÅÎ ÐÒÁ×ÉÌØÎÙÊ ÎÁÂÏÒ ËÏÜÆÆÉÃÉÅÎÔÏ×: ÐÏÖÁÌÕÊÓÔÁ, ÕËÁÖÉÔÅ ÓÔÁÒÔÏ×ÙÅ "
"ÚÎÁÞÅÎÉÑ"
msgid "step size truncated due to divergence"
msgstr "ÒÁÚÍÅÒ ÛÁÇÁ ÕÍÅÎØÛÅÎ × Ó×ÑÚÉ Ó ÒÁÓÈÏÄÉÍÏÓÔØÀ"
msgid "inner loop 1; cannot correct step size"
msgstr "×ÎÕÔÒÅÎÎÉÊ ÃÉËÌ 1; ÎÅ ÍÏÇÕ ÉÓÐÒÁ×ÉÔØ ÒÁÚÍÅÒ ÛÁÇÁ"
msgid "step size truncated: out of bounds"
msgstr "ÒÁÚÍÅÒ ÛÁÇÁ ÕÍÅÎØÛÅÎ: ×ÙÈÏÄ ÚÁ ÐÒÅÄÅÌÙ"
msgid "inner loop 2; cannot correct step size"
msgstr "×ÎÕÔÒÅÎÎÉÊ ÃÉËÌ 2; ÎÅ ÍÏÇÕ ÉÓÐÒÁ×ÉÔØ ÒÁÚÍÅÒ ÛÁÇÁ"
msgid "glm.fit: algorithm did not converge"
msgstr "glm.fit: ÁÌÇÏÒÉÔÍ ÎÅ ÓÏÛÅÌÓÑ"
msgid "glm.fit: algorithm stopped at boundary value"
msgstr "glm.fit: ÁÌÇÏÒÉÔÍ ÏÓÔÁÎÏ×ÉÌÓÑ ÎÁ ËÒÁÅ×ÏÍ ÚÎÁÞÅÎÉÉ"
msgid "glm.fit: fitted probabilities numerically 0 or 1 occurred"
msgstr "glm.fit: ×ÏÚÎÉËÌÉ ÐÏÄÏÇÎÁÎÎÙÅ ×ÅÒÏÑÔÎÏÓÔÉ 0 ÉÌÉ 1"
msgid "glm.fit: fitted rates numerically 0 occurred"
msgstr "glm.fit: ×ÏÚÎÉËÌÉ ÐÏÄÏÇÎÁÎÎÙÅ ÄÏÌÉ 0"
msgid "the following arguments to 'anova.glm' are invalid and dropped:"
msgstr "ÓÌÅÄÕÀÝÉÅ ÁÒÇÕÍÅÎÔÙ 'anova.glm' ÎÅÐÒÁ×ÉÌØÎÙÅ É ÂÙÌÉ ÏÔÂÒÏÛÅÎÙ:"
msgid ","
msgstr ","
msgid "using F test with a '%s' family is inappropriate"
msgstr "ÉÓÐÏÌØÚÏ×ÁÔØ ÔÅÓÔ æÉÛÅÒÁ Ó ÓÅÍÅÊÓÔ×ÏÍ '%s' ÎÅÐÒÁ×ÉÌØÎÏ"
msgid "using F test with a fixed dispersion is inappropriate"
msgstr "ÉÓÐÏÌØÚÏ×ÁÔØ ÔÅÓÔ æÉÛÅÒÁ Ó ÆÉËÓÉÒÏ×ÁÎÎÏÊ ÄÉÓÐÅÒÓÉÅÊ ÎÅÐÒÁ×ÉÌØÎÏ"
msgid "models with response %s removed because response differs from model 1"
msgstr "ÍÏÄÅÌÉ Ó ÏÔËÌÉËÏÍ %s ÕÄÁÌÅÎÙ ÐÏÔÏÍÕ ÞÔÏ ÏÔËÌÉË ÏÔÌÉÞÁÅÔÓÑ ÏÔ ÍÏÄÅÌÉ 1"
msgid "models were not all fitted to the same size of dataset"
msgstr "ÎÅ ×ÓÅ ÍÏÄÅÌÉ ÂÙÌÉ ÐÏÄÏÇÎÁÎÙ ÐÏÄ ÒÁÚÍÅÒ ÄÁÎÎÙÈ"
msgid "observations with zero weight not used for calculating dispersion"
msgstr "ÎÁÂÌÀÄÅÎÉÑ Ó ÎÕÌÅ×ÙÍ ×ÅÓÏÍ ÎÅ ÉÓÐÏÌØÚÏ×ÁÌÉÓØ ÐÒÉ ×ÙÞÉÓÌÅÎÉÉ ÄÉÓÐÅÒÓÉÉ"
msgid ""
"The \"ward\" method has been renamed to \"ward.D\"; note new \"ward.D2\""
msgstr ""
"íÅÔÏÄ \"ward\" ÐÅÒÅÉÍÅÎÏ×ÁÎ × \"ward.D\"; ÏÂÒÁÔÉÔÅ ×ÎÉÍÁÎÉÅ ÎÁ ÎÏ×ÙÊ \"ward."
"D2\""
msgid "invalid clustering method"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÍÅÔÏÄ ËÌÁÓÔÅÒÉÚÁÃÉÉ"
msgid "ambiguous clustering method"
msgstr "ÓÏÍÎÉÔÅÌØÎÙÊ ÍÅÔÏÄ ËÌÁÓÔÅÒÉÚÁÃÉÉ"
msgid "invalid dissimilarities"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÅ ÒÁÚÌÉÞÉÑ"
msgid "size cannot be NA nor exceed 65536"
msgstr "ÒÁÚÍÅÒ ÎÅ ÄÏÌÖÅÎ ÂÙÔØ NA ÉÌÉ ÐÒÅ×ÙÛÁÔØ 65536"
msgid "must have n >= 2 objects to cluster"
msgstr "ÄÌÑ ËÌÁÓÔÅÒÉÚÁÃÉÉ ÎÕÖÎÏ ÉÍÅÔØ n >= 2 ÏÂßÅËÔÏ×"
msgid "invalid length of members"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÄÌÉÎÁ ÞÌÅÎÏ×"
msgid "argument 'x' cannot be coerced to class %s"
msgstr "ÁÒÇÕÍÅÎÔ 'x' ÎÅ ÍÏÖÅÔ ÂÙÔØ ËÏÎ×ÅÒÔÉÒÏ×ÁÎ × ËÌÁÓÓ %s"
msgid "Consider providing an as.hclust.%s() method"
msgstr "óÏ×ÅÔÕÀ ÕËÁÚÁÔØ ÍÅÔÏÄ as.hclust.%s()"
msgid "need dendrograms where all leaves have labels"
msgstr "ÎÕÖÎÙ ÄÅÎÄÒÏÇÒÁÍÍÙ, ÇÄÅ ×ÓÅ ÌÉÓÔØÑ ÉÍÅÀÔ ÍÅÔËÉ"
msgid "'k' and 'h' must be a scalar"
msgstr "'k' É 'h' ÄÏÌÖÎÙ ÂÙÔØ ÓËÁÌÑÒÁÍÉ"
msgid "specify exactly one of 'k' and 'h'"
msgstr "ÎÁÄÏ ÕËÁÚÁÔØ × ÔÏÞÎÏÓÔÉ ÏÄÉÎ ÉÚ 'k' É 'h'"
msgid "k must be between 2 and %d"
msgstr "k ÄÏÌÖÅÎ ÂÙÔØ ÍÅÖÄÕ 2 É %d"
msgid "specify exactly one of 'which' and 'x'"
msgstr "ÎÁÄÏ ÕËÁÚÁÔØ × ÔÏÞÎÏÓÔÉ ÏÄÉÎ ÉÚ 'which' É 'x'"
msgid "all elements of 'which' must be between 1 and %d"
msgstr "×ÓÅ ÜÌÅÍÅÎÔÙ 'which' ÄÏÌÖÎÙ ÂÙÔØ ÍÅÖÄÕ 1 É %d"
msgid "invalid parameter values"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÅ ÚÎÁÞÅÎÉÑ ÐÁÒÁÍÅÔÒÁ"
msgid "a limit is NA or NaN"
msgstr "ÏÇÒÁÎÉÞÅÎÉÅ -- NA ÉÌÉ NaN"
msgid "missing values not allowed"
msgstr "ÐÒÏÐÕÝÅÎÎÙÅ ÚÎÁÞÅÎÉÑ ÎÅ ÒÁÚÒÅÛÅÎÙ"
msgid "'r' is less than 1"
msgstr "'r' < 1"
msgid "'m' is less than 1"
msgstr "'m' < 1"
msgid "'r' is less than 0"
msgstr "'r' < 0"
msgid "'m' must be numeric with non-negative integers"
msgstr "'m' ÄÏÌÖÅÎ ÂÙÔØ ÃÅÌÙÍ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍ ÞÉÓÌÏÍ"
msgid "unknown named kernel"
msgstr "ÎÅÉÚ×ÅÓÔÎÏÅ ÉÍÅÎÏ×ÁÎÎÏÅ ÑÄÒÏ"
msgid "'coef' must be a vector"
msgstr "'coef' ÄÏÌÖÅÎ ÂÙÔØ ×ÅËÔÏÒÏÍ"
msgid "'coef' does not have the correct length"
msgstr "'coef' ÎÅÐÒÁ×ÉÌØÎÏÊ ÄÌÉÎÙ"
msgid "coefficients do not add to 1"
msgstr "ËÏÜÆÆÉÃÉÅÎÔÙ ÎÅ ÄÁÀÔ × ÓÕÍÍÅ 1"
msgid "'k' is not a kernel"
msgstr "'k' -- ÎÅ ÑÄÒÏ"
msgid "'x' is shorter than kernel 'k'"
msgstr "'x' ËÏÒÏÞÅ, ÞÅÍ ÑÄÒÏ 'k'"
msgid "'kernapply' is not available for object 'x'"
msgstr "'kernapply' ÎÅÄÏÓÔÕÐÅÎ ÄÌÑ ÏÂßÅËÔÁ 'x'"
msgid "'x' is not a kernel"
msgstr "'x' -- ÎÅ ÑÄÒÏ"
msgid "empty cluster: try a better set of initial centers"
msgstr "ÐÕÓÔÏÊ ËÌÁÓÔÅÒ: ÐÏÐÒÏÂÕÊÔÅ ÄÒÕÇÏÊ ÎÁÂÏÒ ÉÓÈÏÄÎÙÈ ÃÅÎÔÒÏ×"
msgid "number of cluster centres must lie between 1 and nrow(x)"
msgstr "ËÏÌÉÞÅÓÔ×Ï ÃÅÎÔÒÏ× ËÌÁÓÔÅÒÏ× ÄÏÌÖÎÏ ÂÙÔØ × ÐÒÅÄÅÌÁÈ ÍÅÖÄÕ 1 É nrow(x)"
msgid "Quick-TRANSfer stage steps exceeded maximum (= %d)"
msgstr "þÉÓÌÏ ÓÔÕÐÅÎÅÊ ÓÔÁÄÉÉ Quick-TRANSfer ÐÒÅ×ÙÓÉÌÏ ÍÁËÓÉÍÕÍ (= %d)"
msgid "invalid nrow(x)"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ nrow(x)"
msgid "invalid ncol(x)"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ncol(x)"
msgid "'centers' must be a number or a matrix"
msgstr "'centers' ÄÏÌÖÎÙ ÂÙÔØ ÞÉÓÌÏÍ ÉÌÉ ÍÁÔÒÉÃÅÊ"
msgid "more cluster centers than distinct data points."
msgstr "ÂÏÌØÛÅ ÃÅÎÔÒÏ× ËÌÁÓÔÅÒÏ×, ÞÅÍ ÏÔÄÅÌØÎÙÈ ÔÏÞÅË."
msgid "initial centers are not distinct"
msgstr "ÎÁÞÁÌØÎÙÅ ÃÅÎÔÒÙ ÎÅ ÒÁÚÌÉÞÁÀÔÓÑ"
msgid "more cluster centers than data points"
msgstr "ÂÏÌØÛÅ ÃÅÎÔÒÏ× ËÌÁÓÔÅÒÏ×, ÞÅÍ ÔÏÞÅË"
msgid "'iter.max' must be positive"
msgstr "'iter.max' ÄÏÌÖÅÎ ÂÙÔØ ÐÏÌÏÖÉÔÅÌØÎÙÍ"
msgid "must have same number of columns in 'x' and 'centers'"
msgstr "× 'x' É 'centers' ÎÕÖÎÏ ÏÄÎÏ ËÏÌÉÞÅÓÔ×Ï ËÏÌÏÎÏË"
msgid "'x' is a list, so ignoring argument 'g'"
msgstr "'x' -- ÜÔÏ ÓÐÉÓÏË, ÐÏÜÔÏÍÕ ÐÒÏÐÕÓËÁÀ ÁÒÇÕÍÅÎÔ 'g'"
msgid "some elements of 'x' are not numeric and will be coerced to numeric"
msgstr "ÎÅËÏÔÏÒÙÅ ÜÌÅÍÅÎÔÙ 'x' ÎÅÞÉÓÌÏ×ÙÅ É ÂÕÄÕÔ ÐÒÅÏÂÒÁÚÏ×ÁÎÙ × ÞÉÓÌÁ"
msgid "not enough 'x' data"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÄÁÎÎÙÈ 'x'"
msgid "not enough 'y' data"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÄÁÎÎÙÈ 'y'"
msgid "p-value will be approximate in the presence of ties"
msgstr "p-value ÂÕÄÅÔ ÐÒÉÍÅÒÎÙÍ × ÐÒÉÓÕÔÓÔ×ÉÉ ÐÏ×ÔÏÒÑÀÝÉÈÓÑ ÚÎÁÞÅÎÉÊ"
msgid "'y' must be numeric or a function or a string naming a valid function"
msgstr ""
"'y' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏ×ÙÍ ÉÌÉ ÆÕÎËÃÉÅÊ ÉÌÉ ÓÔÒÏËÏÊ ÉÍÅÎÕÀÝÅÊ ÐÒÁ×ÉÌØÎÕÀ "
"ÆÕÎËÃÉÀ"
msgid "ties should not be present for the Kolmogorov-Smirnov test"
msgstr "× ÔÅÓÔÅ ëÏÌÍÏÇÏÒÏ×Á-óÍÉÒÎÏ×Á ÎÅ ÄÏÌÖÎÏ ÂÙÔØ ÐÏ×ÔÏÒÑÀÝÉÈÓÑ ÚÎÁÞÅÎÉÊ"
msgid ""
"numeric y must be supplied.\n"
"For density estimation use density()"
msgstr ""
"ÎÁÄÏ ÕËÁÚÁÔØ ÞÉÓÌÏ×ÏÊ y.\n"
"äÌÑ ÏÐÒÅÄÅÌÅÎÉÑ ÐÌÏÔÎÏÓÔÉ ÐÏÌØÚÕÊÔÅÓØ density()"
msgid "'k' is not an integer"
msgstr "'k' ÎÅ Ñ×ÌÑÅÔÓÑ ÃÅÌÙÍ ÞÉÓÌÏÍ"
msgid "method = '%s' is not supported. Using 'qr'"
msgstr "method = '%s' ÎÅ ÐÏÄÄÅÒÖÉ×ÁÅÔÓÑ. éÓÐÏÌØÚÕÀ 'qr'"
msgid "number of offsets is %d, should equal %d (number of observations)"
msgstr "ÞÉÓÌÏ ÓÍÅÝÅÎÉÊ = %d, Á ÄÏÌÖÎÏ ÂÙÔØ = %d (ÞÉÓÌÕ ÎÁÂÌÀÄÅÎÉÊ)"
msgid "'x' must be a matrix"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÍÁÔÒÉÃÅÊ"
msgid "0 (non-NA) cases"
msgstr "0 (ÎÅ-NA) ÓÌÕÞÁÅ×"
msgid "incompatible dimensions"
msgstr "ÎÅÓÏ×ÍÅÓÔÉÍÙÅ ÒÁÚÍÅÒÎÏÓÔÉ"
msgid "missing or negative weights not allowed"
msgstr "ÐÒÏÐÕÝÅÎÎÙÅ ÉÌÉ ÏÔÒÉÃÁÔÅÌØÎÙÅ ×ÅÓÁ ÎÅ ÒÁÚÒÅÛÅÎÙ"
msgid "invalid 'lm' object: no 'terms' component"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'lm' ÏÂßÅËÔ: ÎÅÔ ËÏÍÐÏÎÅÎÔÁ 'terms'"
msgid "calling summary.lm(<fake-lm-object>) ..."
msgstr "×ÙÚÙ×ÁÀ summary.lm(<fake-lm-object>) ..."
msgid "residual degrees of freedom in object suggest this is not an \"lm\" fit"
msgstr ""
"ÏÓÔÁÔÏÞÎÙÅ ÓÔÅÐÅÎÉ Ó×ÏÂÏÄÙ × ÏÂßÅËÔÅ ÕËÁÚÙ×ÁÀÔ, ÞÔÏ ÜÔÏ ÎÅ ÐÏÄÇÏÎËÁ \"lm\""
msgid "essentially perfect fit: summary may be unreliable"
msgstr "ÓÌÉÛËÏÍ ÈÏÒÏÛÁÑ ÐÏÄÇÏÎËÁ: summary ÍÏÖÅÔ ÂÙÔØ ÂÅÓÓÍÙÓÌÅÎÎÙÍ"
msgid ""
"lm object does not have a proper 'qr' component.\n"
" Rank zero or should not have used lm(.., qr=FALSE)."
msgstr ""
"Õ ÏÂßÅËÔÁ lm object ÎÅÔ ÐÒÁ×ÉÌØÎÏÇÏ 'qr' ËÏÍÐÏÎÅÎÔÁ.\n"
" ðÏÔÏÍÕ ÞÔÏ ÎÕÌÅ×ÏÊ ÒÁÎÇ ÉÌÉ ÎÅ ÎÁÄÏ ÂÙÌÏ ÉÓÐÏÌØÚÏ×ÁÔØ lm(.., qr=FALSE)."
msgid "simulate() is not yet implemented for multivariate lm()"
msgstr "simulate() ÄÌÑ ÍÎÏÇÏÍÅÒÎÙÈ lm() ÅÝÅ ÎÅ ÒÁÚÒÁÂÏÔÁÎ"
msgid "family '%s' not implemented"
msgstr "ÓÅÍÅÊÓÔ×Ï '%s' ÎÅ ÒÅÁÌÉÚÏ×ÁÎÏ"
msgid "calling anova.lm(<fake-lm-object>) ..."
msgstr "×ÙÚÙ×ÁÀ anova.lm(<fake-lm-object>) ..."
msgid "ANOVA F-tests on an essentially perfect fit are unreliable"
msgstr "ÐÒÉÍÅÎÅÎÉÅ F-ËÒÉÔÅÒÉÑ ÄÌÑ × ÃÅÌÏÍ ÈÏÒÏÛÅÊ ÐÏÄÇÏÎËÉ ÂÅÓÓÍÙÓÌÅÎÎÏ"
msgid "calling predict.lm(<fake-lm-object>) ..."
msgstr "×ÙÚÙ×ÁÀ predict.lm(<fake-lm-object>) ..."
msgid "prediction from a rank-deficient fit may be misleading"
msgstr "ÐÒÅÄÓËÁÚÁÎÉÅ ÏÔ ×ÙÒÏÖÄÅÎÎÏÊ ÐÏÄÇÏÎËÉ ÍÏÖÅÔ ÂÙÔØ ÎÅÐÒÁ×ÉÌØÎÙÍ"
msgid "predictions on current data refer to _future_ responses"
msgstr ""
"ÐÒÅÄÓËÁÚÁÎÉÑ ÎÁ ÏÓÎÏ×Å ÔÅËÕÝÉÈ ÄÁÎÎÙÈ ÕËÁÚÙ×ÁÀÔ ÎÁ _ÂÕÄÕÝÉÅ_ ÚÁ×ÉÓÉÍÏÓÔÉ"
msgid ""
"assuming prediction variance inversely proportional to weights used for "
"fitting"
msgstr ""
"ÐÒÅÄÐÏÌÁÇÁÀ ÄÉÓÐÅÒÓÉÀ ÄÌÑ ÐÒÅÄÓËÁÚÁÎÉÑ ÏÂÒÁÔÎÏ ÐÒÏÐÏÒÃÉÏÎÁÌØÎÏÊ ×ÅÓÁÍ, "
"ÉÓÐÏÌØÚÏ×ÁÎÎÙÍ ÄÌÑ ÐÏÄÇÏÎËÉ"
msgid "Assuming constant prediction variance even though model fit is weighted"
msgstr ""
"ðÒÅÄÐÏÌÁÇÁÀ ÐÏÓÔÏÑÎÎÕÀ ÄÉÓÐÅÒÓÉÀ ÄÌÑ ÐÒÅÄÓËÁÚÁÎÉÑ, ÈÏÔÑ ÐÏÄÇÏÎËÁ ÍÏÄÅÌÉ "
"×Ú×ÅÛÅÎÁ"
msgid "'weights' as formula should be one-sided"
msgstr "'weights' ËÁË ÆÏÒÍÕÌÁ ÄÏÌÖÎÙ ÂÙÔØ ÏÄÎÏÓÔÏÒÏÎÎÉÍÉ"
msgid "'object' has no 'effects' component"
msgstr "'object' ÎÅ ÉÍÅÅÔ ËÏÍÐÏÎÅÎÔÁ 'effects'"
msgid "the 'se.fit' argument is not yet implemented for \"mlm\" objects"
msgstr "ÁÒÇÕÍÅÎÔ 'se.fit' ÄÌÑ \"mlm\"-ÏÂßÅËÔÏ× ÅÝÅ ÎÅ ÒÅÁÌÉÚÏ×ÁÎ"
msgid "invalid model QR matrix"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÍÏÄÅÌØÎÁÑ ÍÁÔÒÉÃÁ QR"
msgid "non-NA residual length does not match cases used in fitting"
msgstr ""
"ÎÅ-NA ÏÓÔÁÔÏÞÎÁÑ ÄÌÉÎÁ ÎÅ ÓÏÏÔ×ÅÔÓÔ×ÕÅÔ ÓÌÕÞÁÑÍ, ÉÓÐÏÌØÚÏ×ÁÎÎÙÍ × ÐÏÄÇÏÎËÅ"
#, fuzzy
msgid "too few cases i with h_ii > 0), n < k"
msgstr "ÓÌÉÛËÏÍ ÍÁÌÏ ÓÌÕÞÁÅ×, n < k"
msgid "predictors must all be numeric"
msgstr "×ÓÅ ÐÒÅÄÉËÔÏÒÙ ÄÏÌÖÎÙ ÂÙÔØ ÞÉÓÌÁÍÉ"
msgid "'degree' must be 0, 1 or 2"
msgstr "'degree' ÄÏÌÖÅÎ ÂÙÔØ 0, 1 ÉÌÉ 2"
msgid "both 'span' and 'enp.target' specified: 'span' will be used"
msgstr "ÕËÁÚÁÎÙ É 'span', É 'enp.target': ÉÓÐÏÌØÚÕÀ 'span'"
msgid "invalid 'control' argument"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'control'"
msgid "invalid NCOL(X)"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ NCOL(X)"
msgid "only 1-4 predictors are allowed"
msgstr "ÒÁÚÒÅÛÅÎÙ ÔÏÌØËÏ 1-4 ÐÒÅÄÉËÔÏÒÁ"
msgid "invalid NROW(X)"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ NROW(X)"
msgid "invalid 'y'"
msgstr "ÎÅÄÏÐÕÓÔÉÍÙÊ y"
msgid ""
"specified the square of a factor predictor to be dropped when degree = 1"
msgstr "ÕËÁÚÁÎÎÙÊ Ë×ÁÄÒÁÔ ÆÁËÔÏÒÁ-ÐÒÅÄÉËÔÏÒÁ ÂÕÄÅÔ ÓÂÒÏÛÅÎ, ÅÓÌÉ ÓÔÅÐÅÎØ = 1"
msgid ""
"specified the square of a predictor to be dropped with only one numeric "
"predictor"
msgstr ""
"ÕËÁÚÁÎÎÙÊ Ë×ÁÄÒÁÔ ÐÒÅÄÉËÔÏÒÁ ÂÕÄÅÔ ÓÂÒÏÛÅÎ Ë ÔÏÌØËÏ ÏÄÎÏÍÕ ÞÉÓÌÏ×ÏÍÕ "
"ÐÒÅÄÉËÔÏÒÕ"
msgid "specified parametric for all predictors"
msgstr "ÕËÁÚÁÎ ÐÁÒÁÍÅÔÒÉÞÅÓËÉÊ ÄÌÑ ×ÓÅÈ ÐÒÅÄÉËÔÏÒÏ×"
msgid "invalid argument 'span'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'span'"
msgid "invalid argument 'cell'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'cell'"
msgid "invalid argument 'degree'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'degree'"
#, fuzzy
msgid "iterTrace = %d is not obeyed since iterations = %d"
msgstr "ÎÅ ×ÙÐÏÌÎÅÎÏ, ÐÏÓËÏÌØËÕ iterations ="
msgid "first argument must be a \"loess\" object"
msgstr "ÐÅÒ×ÙÊ ÁÒÇÕÍÅÎÔ ÄÏÌÖÅÎ ÂÙÔØ ÏÂßÅËÔÏÍ \"loess\""
msgid "no models to compare"
msgstr "ÎÅÔ ÍÏÄÅÌÅÊ ÄÌÑ ÓÒÁ×ÎÅÎÉÑ"
msgid "extra arguments discarded"
msgstr "ÄÏÐÏÌÎÉÔÅÌØÎÙÅ ÁÒÇÕÍÅÎÔÙ ÏÔÂÒÏÛÅÎÙ"
msgid "'logLik.lm' does not support multiple responses"
msgstr "'logLik.lm' ÎÅ ÐÏÄÄÅÒÖÉ×ÁÅÔ ÍÎÏÖÅÓÔ×ÅÎÎÙÅ ÏÔËÌÉËÉ"
msgid "no \"nobs\" attribute is available"
msgstr "ÎÅÄÏÓÔÕÐÅÎ ÁÔÒÉÂÕÔ \"nobs\""
msgid "no 'nobs' method is available"
msgstr "ÎÅÔ ÄÏÓÔÕÐÎÏÇÏ ÍÅÔÏÄÁ 'nobs'"
msgid "'margin' must contain names or numbers corresponding to 'table'"
msgstr "'margin' ÄÏÌÖÅÎ ÓÏÄÅÒÖÁÔØ ÉÍÅÎÁ ÉÌÉ ÎÏÍÅÒÁ, ÓÏÏÔ×ÅÔÓÔ×ÕÀÝÉÅ 'table'"
msgid "'start' and 'table' must be same length"
msgstr "'start' É 'table' ÄÏÌÖÎÙ ÂÙÔØ ÏÄÎÏÊ ÄÌÉÎÙ"
msgid "number of weights = %d should equal %d (number of responses)"
msgstr "ËÏÌÉÞÅÓÔ×Ï ×ÅÓÏ× = %d, Á ÄÏÌÖÎÏ ÂÙÔØ = %d (ÞÉÓÌÕ ÏÔËÌÉËÏ×)"
msgid "'X' matrix was collinear"
msgstr "'X'-ÍÁÔÒÉÃÁ ÂÙÌÁ ËÏÌÌÉÎÅÁÒÎÏÊ"
msgid "missing observations deleted"
msgstr "ÐÒÏÐÕÝÅÎÎÙÅ ÚÎÁÞÅÎÉÑ ÕÄÁÌÅÎÙ"
msgid "observations with 0 weight not used in calculating standard deviation"
msgstr ""
"ÎÁÂÌÀÄÅÎÉÑ Ó ÎÕÌÅ×ÙÍ ×ÅÓÏÍ ÎÅ ÉÓÐÏÌØÚÏ×ÁÎÙ ÐÒÉ ×ÙÞÉÓÌÅÎÉÉ ÓÔÁÎÄÁÒÔÎÏÇÏ "
"ÏÔËÌÏÎÅÎÉÑ"
msgid "observations with 0 weights not used"
msgstr "ÎÁÂÌÀÄÅÎÉÑ Ó ÎÕÌÅ×ÙÍ ×ÅÓÏÍ ÎÅ ÉÓÐÏÌØÚÏ×ÁÎÙ"
msgid "'low' and 'high' cannot be both TRUE"
msgstr "'low' É 'high' ÎÅ ÍÏÇÕÔ ÏÂÁ ÂÙÔØ TRUE"
msgid "need multiple responses"
msgstr "ÎÕÖÎÙ ÍÎÏÖÅÓÔ×ÅÎÎÙÅ ÏÔËÌÉËÉ"
msgid "object must be of class %s or %s"
msgstr "ÏÂßÅËÔ ÄÏÌÖÅÎ ÂÙÔØ ËÌÁÓÓÁ %s ÉÌÉ %s"
msgid "residuals have rank %d < %d"
msgstr "ÏÓÔÁÔËÉ ÉÍÅÀÔ ÒÁÎÇ %d < %d"
msgid "NAs are not allowed"
msgstr "NA ÎÅ ÒÁÚÒÅÛÅÎÙ"
msgid "each dimension in table must be >= 2"
msgstr "ËÁÖÄÏÅ ÉÚÍÅÒÅÎÉÅ ÔÁÂÌÉÃÙ ÄÏÌÖÎÏ ÂÙÔØ >= 2"
msgid "'x' must be a 3-dimensional array"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ 3-ÍÅÒÎÏÊ ÍÁÔÒÉÃÅÊ"
msgid "if 'x' is not an array, 'y' must be given"
msgstr "ÅÓÌÉ 'x' -- ÎÅ ÍÁÔÒÉÃÁ, ÎÕÖÎÏ ÚÁÄÁÔØ 'y'"
msgid "if 'x' is not an array, 'z' must be given"
msgstr "ÅÓÌÉ 'x' -- ÎÅ ÍÁÔÒÉÃÁ, ÎÕÖÎÏ ÚÁÄÁÔØ 'z'"
msgid "'x', 'y', and 'z' must have the same length"
msgstr "'x', 'y' É 'z' ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÉÎÁËÏ×ÕÀ ÄÌÉÎÕ"
msgid "sample size in each stratum must be > 1"
msgstr "ÒÁÚÍÅÒ ×ÙÂÏÒËÉ × ËÁÖÄÏÍ ÓÌÏÅ ÄÏÌÖÅÎ ÂÙÔØ > 1"
msgid "'x' must be square with at least two rows and columns"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ Ë×ÁÄÒÁÔÏÍ ËÁË ÍÉÎÉÍÕÍ Ä×ÕÈ ÓÔÒÏË É ËÏÌÏÎÏË"
msgid "'x' and 'y' must have the same number of levels (minimum 2)"
msgstr "'x' É 'y' ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÉÎÁËÏ×ÏÅ ËÏÌÉÞÅÓÔ×Ï ÕÒÏ×ÎÅÊ (ÍÉÎÉÍÕÍ 2)"
msgid "need numeric data"
msgstr "ÎÕÖÎÙ ÞÉÓÌÏ×ÙÅ ÄÁÎÎÙÅ"
msgid "'mlm' objects with weights are not supported"
msgstr "'mlm'-ÏÂßÅËÔÙ Ó ×ÅÓÁÍÉ ÎÅ ÐÏÄÄÅÒÖÉ×ÁÅÔÓÑ"
msgid "X does not define a subspace of M"
msgstr "X ÎÅ ÏÐÒÅÄÅÌÑÅÔ ÐÏÄÐÒÏÓÔÒÁÎÓÔ×Ï M"
msgid "residuals have rank %s < %s"
msgstr "ÏÓÔÁÔËÉ ÉÍÅÀÔ ÒÁÎÇ %s < %s"
msgid "'model.tables' is not implemented for multiple responses"
msgstr "'model.tables' ÄÌÑ ÍÎÏÖÅÓÔ×ÅÎÎÙÈ ÏÔËÌÉËÏ× ÎÅ ÒÁÚÒÁÂÏÔÁÎÙ"
msgid "type '%s' is not implemented yet"
msgstr "ÔÉÐ '%s' ÅÝÅ ÎÅ ÒÁÚÒÁÂÏÔÁÎ"
msgid "this fit does not inherit from \"lm\""
msgstr "ÜÔÁ ÐÏÄÇÏÎËÁ ÎÅ ÕÎÁÓÌÅÄÏ×ÁÎÁ ÉÚ \"lm\""
msgid "'cterms' argument must match terms in model object"
msgstr ""
"ÁÒÇÕÍÅÎÔ 'cterms' ÄÏÌÖÅÎ ÓÏÏÔ×ÅÔÓÔ×Ï×ÁÔØ ×ÙÒÁÖÅÎÉÑÍ × ÍÏÄÅÌØÎÏÍ ÏÂßÅËÔÅ"
msgid "Design is unbalanced - use se.contrast() for se's"
msgstr "äÉÚÁÊÎ ÎÅ ÓÂÁÌÁÎÓÉÒÏ×ÁÎ -- ÉÓÐÏÌØÚÕÊÔÅ se.contrast() ÄÌÑ 'se'"
msgid "design is unbalanced so cannot proceed"
msgstr "ÄÉÚÁÊÎ ÎÅ ÓÂÁÌÁÎÓÉÒÏ×ÁÎ É ÐÏÜÔÏÍÕ ÎÅ ÍÏÖÅÔ ÂÙÔØ ÉÓÐÏÌØÚÏ×ÁÎ"
msgid ""
"Standard error information not returned as design is unbalanced. \n"
"Standard errors can be obtained through 'se.contrast'."
msgstr ""
"éÎÆÏÒÍÁÃÉÉ Ï ÓÔÁÎÄÁÒÔÎÏÊ ÏÛÉÂËÅ ÎÅÔ, ÐÏÔÏÍÕ ÞÔÏ ÄÉÚÁÊÎ ÎÅ ÓÂÁÌÁÎÓÉÒÏ×ÁÎ. \n"
"óÔÁÎÄÁÒÔÎÙÅ ÏÛÉÂËÉ ÍÏÖÎÏ ÐÏÌÕÞÉÔØ ÞÅÒÅÚ 'se.contrast'."
msgid "SEs for type '%s' are not yet implemented"
msgstr "SE ÄÌÑ ÔÉÐÁ '%s' ÅÝÅ ÎÅ ÒÅÁÌÉÚÏ×ÁÎÙ"
msgid "na.action must be a function"
msgstr "na.action ÄÏÌÖÎÁ ÂÙÔØ ÆÕÎËÃÉÅÊ"
msgid "non-factors ignored: %s"
msgstr "ÎÅ-ÆÁËÔÏÒÙ ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎÙ: %s"
msgid "eff.aovlist: non-orthogonal contrasts would give an incorrect answer"
msgstr "eff.aovlist: ÎÅ-ÏÒÔÏÇÏÎÁÌØÎÙÅ ËÏÎÔÒÁÓÔÙ ÍÏÇÕÔ ÄÁÔØ ÎÅÐÒÁ×ÉÌØÎÙÊ ÏÔ×ÅÔ"
msgid "cannot create a formula from a zero-column data frame"
msgstr "ÎÅ ÍÏÇÕ ÓÏÚÄÁÔØ ÆÏÒÍÕÌÕ ÉÚ ÔÁÂÌÉÃÙ ÄÁÎÎÙÈ ÂÅÚ ËÏÌÏÎÏË"
#, fuzzy
msgid "invalid formula: %s"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÆÏÒÍÕÌÁ"
#, fuzzy
msgid "invalid formula %s: not a call"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÆÏÒÍÕÌÁ × 'deriv'"
#, fuzzy
msgid "invalid formula %s: assignment is deprecated"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÆÏÒÍÕÌÁ × 'deriv'"
msgid "invalid formula %s: extraneous call to `%s` is deprecated"
msgstr ""
#, fuzzy
msgid "invalid formula %s"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÆÏÒÍÕÌÁ"
msgid "no terms component nor attribute"
msgstr "ÎÅÔ ÎÉ ËÏÍÐÏÎÅÎÔÁ terms, ÎÉ ÁÔÒÉÂÕÔÁ"
msgid "'termlabels' must be a character vector of length at least one"
msgstr "'termlabels' ÄÏÌÖÅÎ ÂÙÔØ ÔÅËÓÔÏ×ÙÍ ×ÅËÔÏÒÏÍ Ó ÄÌÉÎÏÊ ÎÅ ÍÅÎØÛÅ ÅÄÉÎÉÃÙ"
msgid ""
"Unparseable 'response' \"%s\"; use is deprecated. Use as.name(.) or `..`!"
msgstr ""
msgid "reformulate"
msgstr ""
msgid "deprecatedWarning"
msgstr ""
msgid "'termobj' must be a object of class %s"
msgstr "'termobj' ÄÏÌÖÅÎ ÂÙÔØ ÏÂßÅËÔÏÍ ËÌÁÓÓÁ %s"
msgid "variable '%s' was fitted with type \"%s\" but type \"%s\" was supplied"
msgstr "ÐÅÒÅÍÅÎÎÁÑ '%s' ÂÙÌÁ ÐÏÄÏÇÎÁÎÁ Ë ÔÉÐÕ \"%s\", Á ÕËÁÚÁÎ ÔÉÐ \"%s\""
msgid "variables %s were specified with different types from the fit"
msgstr "ÐÅÒÅÍÅÎÎÙÅ %s ÕËÁÚÁÎÙ Ó ÄÒÕÇÉÍÉ ÔÉÐÁÍÉ, ÞÅÍ × ÐÏÄÇÏÎËÅ"
msgid "'data' must be a data.frame, not a matrix or an array"
msgstr "'data' ÄÏÌÖÎÁ ÂÙÔØ ÔÁÂÌÉÃÅÊ ÄÁÎÎÙÈ, Á ÎÅ ÍÁÔÒÉÃÅÊ"
msgid "variable '%s' is not a factor"
msgstr "ÐÅÒÅÍÅÎÎÁÑ '%s' -- ÎÅ ÆÁËÔÏÒ"
msgid "'offset' must be numeric"
msgstr "'offset' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏÍ"
msgid "model frame and formula mismatch in model.matrix()"
msgstr "ÎÅÓÏÏÔ×ÅÔÓÔ×ÉÅ model frame É ÆÏÒÍÕÌÙ × model.matrix()"
#, fuzzy
msgid "non-list contrasts argument ignored"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'contrasts.arg'"
#, fuzzy
msgid "'contrasts.arg' argument must be named"
msgstr "ÁÒÇÕÍÅÎÔ 'control' ÄÏÌÖÅÎ ÂÙÔØ ÉÍÅÎÏ×ÁÎÎÙÍ ÓÐÉÓËÏÍ"
msgid "variable '%s' is absent, its contrast will be ignored"
msgstr "ÐÅÒÅÍÅÎÎÁÑ '%s' ÏÔÓÕÔÓÔ×ÕÅÔ, ÅÅ ËÏÎÔÒÁÓÔ ÂÕÄÅÔ ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎ"
msgid "using type = \"numeric\" with a factor response will be ignored"
msgstr ""
"ÉÓÐÏÌØÚÏ×ÁÎÉÅ type = \"numeric\" Ó ÚÁ×ÉÓÉÍÏÊ ÐÅÒÅÍÅÎÎÏÊ-ÆÁËÔÏÒÏÍ ÂÕÄÅÔ "
"ÐÒÏÐÕÝÅÎÏ"
msgid "invalid response type"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÔÉÐ ÏÔËÌÉËÁ"
msgid "invalid 'data' argument"
msgstr "ÎÅÄÏÐÕÓÔÉÍÙÊ ÁÒÇÕÍÅÎÔ 'data'"
msgid "all times contain an NA"
msgstr "×ÓÅ ×ÒÅÍÅÎÁ ÓÏÄÅÒÖÁÔ NA"
msgid "missing values in object"
msgstr "ÐÒÏÐÕÝÅÎÎÙÅ ÚÎÁÞÅÎÉÑ × ÏÂßÅËÔÅ"
msgid "invalid argument 'omit'"
msgstr "ÎÅÄÏÐÕÓÔÉÍÙÊ ÁÒÇÕÍÅÎÔ 'omit'"
msgid "'print.level' must be in {0,1,2}"
msgstr "'print.level' ÄÏÌÖÅÎ ÂÙÔØ × {0,1,2}"
msgid "'interval' must be a vector of length 2"
msgstr "'interval' ÄÏÌÖÅÎ ÂÙÔØ ×ÅËÔÏÒÏÍ ÄÌÉÎÙ 2"
msgid "lower < upper is not fulfilled"
msgstr "lower < upper ÎÅ ×ÙÐÏÌÎÅÎÏ"
msgid "f.lower = f(lower) is NA"
msgstr "f.lower = f(lower) -- ÜÔÏ NA"
msgid "f.upper = f(upper) is NA"
msgstr "f.upper = f(upper) -- ÜÔÏ NA"
msgid "invalid 'extendInt'; please report"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'extendInt'; ÐÏÖÁÌÕÊÓÔÁ, ÓÏÏÂÝÉÔÅ"
msgid "no sign change found in %d iterations"
msgstr "ÉÚÍÅÎÅÎÉÊ ÚÎÁËÁ ÎÅ ÎÁÊÄÅÎÏ ÚÁ %d ÉÔÅÒÁÃÉÊ"
msgid ""
"did not succeed extending the interval endpoints for f(lower) * f(upper) <= 0"
msgstr ""
"ÎÅ ÕÄÁÌÏÓØ ÒÁÓÛÉÒÉÔØ ËÏÎÅÞÎÙÅ ÔÏÞËÉ ÉÎÔÅÒ×ÁÌÏ× ÄÌÑ f(lower) * f(upper) <= 0"
msgid "f() values at end points not of opposite sign"
msgstr "f() ÚÎÁÞÅÎÉÊ ÎÁ ËÏÎÃÅ×ÙÈ ÔÏÞËÁÈ ÎÅ ÐÒÏÔÉ×ÏÐÏÌÏÖÎÏÇÏ ÚÎÁËÁ"
msgid "convergence problem in zero finding:"
msgstr "ÐÒÏÂÌÅÍÁ ÓÈÏÄÉÍÏÓÔÉ Ë ÎÕÌÀ:"
msgid "'control' argument must be a named list"
msgstr "ÁÒÇÕÍÅÎÔ 'control' ÄÏÌÖÅÎ ÂÙÔØ ÉÍÅÎÏ×ÁÎÎÙÍ ÓÐÉÓËÏÍ"
msgid "logical 'hessian' argument not allowed. See documentation."
msgstr "ÌÏÇÉÞÅÓËÉÊ ÁÒÇÕÍÅÎÔ 'hessian' ÎÅ ÒÁÚÒÅÛÅÎ. óÍ. ÄÏËÕÍÅÎÔÁÃÉÀ."
msgid "'params' has wrong length"
msgstr "Õ 'params' ÎÅÐÒÁ×ÉÌØÎÁÑ ÄÌÉÎÁ"
msgid "'varying' must be in seq_along(pars)"
msgstr "'varying' ÄÏÌÖÅÎ ÂÙÔØ × ÐÒÅÄÅÌÁÈ seq_along(pars)"
msgid "'varying' has wrong length"
msgstr "Õ 'varying' ÎÅÐÒÁ×ÉÌØÎÁÑ ÄÌÉÎÁ"
msgid "'varying' must be logical, integer or character"
msgstr "'varying' ÄÏÌÖÅÎ ÂÙÔØ ÔÅËÓÔÏ×ÙÍ, ÃÅÌÏÞÉÓÌÅÎÎÙÍ ÉÌÉ ÌÏÇÉÞÅÓËÉÍ"
msgid "invalid argument to 'getProfile'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ ÄÌÑ 'getProfile'"
msgid "cannot recognize parameter name"
msgstr "ÎÅ ÍÏÇÕ ÒÁÓÐÏÚÎÁÔØ ÉÍÑ ÐÁÒÁÍÅÔÒÁ"
msgid "levels truncated to positive values only"
msgstr "ÕÒÏ×ÎÉ ÕËÏÒÏÞÅÎÙ ÄÏ ÔÏÌØËÏ ÐÏÌÏÖÉÔÅÌØÎÙÈ ÚÎÁÞÅÎÉÊ"
msgid "setVarying : 'vary' length must match length of parameters"
msgstr "setVarying : ÄÌÉÎÁ 'vary' ÄÏÌÖÎÁ ÓÏÏÔ×ÅÔÓÔ×Ï×ÁÔØ ÄÌÉÎÅ ÐÁÒÁÍÅÔÒÏ×"
msgid "singular gradient matrix at initial parameter estimates"
msgstr "ÓÉÎÇÕÌÑÒÎÁÑ ÇÒÁÄÉÅÎÔÎÁÑ ÍÁÔÒÉÃÁ × ÏÃÅÎËÅ ÎÁÞÁÌØÎÙÈ ÐÁÒÁÍÅÔÒÏ×"
msgid "'data' must be a list or an environment"
msgstr "'data' ÄÏÌÖÎÙ ÂÙÔØ ÓÐÉÓËÏÍ ÌÉÂÏ ÏËÒÕÖÅÎÉÅÍ"
msgid "no starting values specified"
msgstr "ÎÅ ÚÁÄÁÎÙ ÓÔÁÒÔÏ×ÙÅ ÚÎÁÞÅÎÉÑ"
msgid "parameters without starting value in 'data': %s"
msgstr "ÐÁÒÁÍÅÔÒÙ ÂÅÚ ÓÔÁÒÔÏ×ÏÇÏ ÚÎÁÞÅÎÉÑ × 'data': %s"
msgid "no parameters to fit"
msgstr "ÎÅÔ ÐÁÒÁÍÅÔÒÏ× ÄÌÑ ÐÏÄÇÏÎËÉ"
msgid "argument 'subset' will be ignored"
msgstr "ÁÒÇÕÍÅÎÔ 'subset' ÂÕÄÅÔ ÐÒÏÐÕÝÅÎ"
msgid "argument 'na.action' will be ignored"
msgstr "ÁÒÇÕÍÅÎÔ 'na.action' ÂÕÄÅÔ ÐÒÏÐÕÝÅÎ"
msgid "upper and lower bounds ignored unless algorithm = \"port\""
msgstr "×ÅÒÈÎÉÅ É ÎÉÖÎÉÅ ÇÒÁÎÉÃÙ ÉÇÎÏÒÉÒÕÀÔÓÑ, ÐÏËÁ ÎÅ algorithm = \"port\""
msgid "cannot calculate REML log-likelihood for \"nls\" objects"
msgstr ""
"ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ REML ÌÏÇÁÒÉÆÍ ÆÕÎËÃÉÉ ÐÒÁ×ÄÏÐÏÄÏÂÉÑ ÄÌÑ ÏÂßÅËÔÏ× \"nls\""
msgid "anova is only defined for sequences of \"nls\" objects"
msgstr "anova ÏÐÒÅÄÅÌÅÎÁ ÔÏÌØËÏ ÄÌÑ ÐÏÓÌÅÄÏ×ÁÔÅÌØÎÏÓÔÅÊ \"nls\"-ÏÂßÅËÔÏ×"
msgid "'anova' is only defined for sequences of \"nls\" objects"
msgstr "'anova' ÏÐÒÅÄÅÌÅÎÁ ÔÏÌØËÏ ÄÌÑ ÐÏÓÌÅÄÏ×ÁÔÅÌØÎÏÓÔÅÊ \"nls\"-ÏÂßÅËÔÏ×"
msgid "formula '%s' must be of the form '~expr'"
msgstr "ÆÏÒÍÕÌÁ '%s' ÄÏÌÖÎÁ ÂÙÔØ × ×ÉÄÅ '~expr'"
msgid "'%s' cannot be of mode '%s'"
msgstr "'%s' ÎÅ ÍÏÖÅÔ ÂÙÔØ ÍÏÄÙ '%s'"
msgid "a two-sided formula is required"
msgstr "ÎÕÖÎÁ Ä×ÕÓÔÏÒÏÎÎÑÑ ÆÏÒÍÕÌÁ"
msgid "not enough groups"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÇÒÕÐÐ"
msgid "bounds can only be used with method L-BFGS-B (or Brent)"
msgstr "ÇÒÁÎÉÃÙ ÍÏÖÎÏ ÉÓÐÏÌØÚÏ×ÁÔØ ÔÏÌØËÏ × ÍÅÔÏÄÅ L-BFGS-B (ÉÌÉ Brent)"
msgid "unknown names in control:"
msgstr "ÎÅÉÚ×ÅÓÔÎÙÅ ÉÍÅÎÁ × ÄÉÒÅËÔÉ×Å:"
msgid "read the documentation for 'trace' more carefully"
msgstr "ÞÉÔÁÊÔÅ ÄÏËÕÍÅÎÔÁÃÉÀ ÐÏ 'trace' ×ÎÉÍÁÔÅÌØÎÅÅ"
msgid "'trace != 0' needs 'REPORT >= 1'"
msgstr "'trace != 0' ÎÕÖÄÁÅÔÓÑ × 'REPORT >= 1'"
msgid ""
"method L-BFGS-B uses 'factr' (and 'pgtol') instead of 'reltol' and 'abstol'"
msgstr ""
"ÍÅÔÏÄ L-BFGS-B ÉÓÐÏÌØÚÕÅÔ 'factr' (É 'pgtol') ×ÍÅÓÔÏ 'reltol' É 'abstol'"
msgid ""
"one-dimensional optimization by Nelder-Mead is unreliable:\n"
"use \"Brent\" or optimize() directly"
msgstr ""
"ÏÄÎÏÍÅÒÎÁÑ ÏÐÔÉÍÉÚÁÃÉÑ ÍÅÔÏÄÏÍ îÅÌÄÅÒÁ-íÉÄÁ ÎÅÎÁÄÅÖÎÁ:\n"
"ÉÓÐÏÌØÚÕÊÔÅ \"Brent\" ÉÌÉ ÐÒÑÍÏ optimize()"
msgid "method = \"Brent\" is only available for one-dimensional optimization"
msgstr "ÍÅÔÏÄ = \"Brent\" ÄÏÓÔÕÐÅÎ ÔÏÌØËÏ ÄÌÑ ÏÄÎÏÍÅÒÎÏÊ ÏÐÔÉÍÉÚÁÃÉÉ"
msgid "'lower' and 'upper' must be finite values"
msgstr "'lower' É 'upper' ÄÏÌÖÎÙ ÂÙÔØ ËÏÎÅÞÎÙÍÉ ÚÎÁÞÅÎÉÑÍÉ"
msgid "pooling of SD is incompatible with paired tests"
msgstr "ÓÌÉÑÎÉÅ SD ÎÅÓÏ×ÍÅÓÔÉÍÏ Ó ÐÁÒÎÙÍÉ ÔÅÓÔÁÍÉ"
msgid "'x' must have 2 columns"
msgstr "'x' ÄÏÌÖÅÎ ÉÍÅÔØ 2 ËÏÌÏÎËÉ"
msgid "'x' and 'n' must have the same length"
msgstr "'x' É 'n' ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÉÎÁËÏ×ÕÀ ÄÌÉÎÕ"
msgid "too few groups"
msgstr "ÓÌÉÛËÏÍ ÍÁÌÏ ÇÒÕÐÐ"
msgid ""
"not plotting observations with leverage one:\n"
" %s"
msgstr ""
"ÎÁÂÌÀÄÅÎÉÑ Ó ÅÄÉÎÉÞÎÏÊ ÔÒÁÎÓÌÑÃÉÅÊ ÎÅ ÒÉÓÕÀ:\n"
" %s"
msgid "use only with \"lm\" objects"
msgstr "ÉÓÐÏÌØÚÕÅÔÓÑ ÔÏÌØËÏ Ó \"lm\"-ÏÂßÅËÔÁÍÉ"
msgid "'which' must be in 1:6"
msgstr "'which' ÄÏÌÖÅÎ ÂÙÔØ × ÐÒÅÄÅÌÁÈ 1:6"
msgid "'id.n' must be in {1,..,%d}"
msgstr "'id.n' ÄÏÌÖÅÎ ÂÙÔØ × ÐÒÅÄÅÌÁÈ {1,..,%d}"
msgid ""
"hat values (leverages) are all = %s\n"
" and there are no factor predictors; no plot no. 5"
msgstr ""
"×ÓÅ hat-ÚÎÁÞÅÎÉÑ (leverages) = %s\n"
" É ÚÄÅÓØ ÎÅÔ ÆÁËÔÏÒÏ×-ÐÒÅÄÉËÔÏÒÏ×; ÎÅÔ ÇÒÁÆÉËÁ N 5"
msgid "'x' and 'T' have incompatible length"
msgstr "'x' É 'T' ÉÍÅÀÔ ÎÅÓÏ×ÍÅÓÔÉÍÕÀ ÄÌÉÎÕ"
msgid "'x' must be finite, nonnegative, and integer"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ËÏÎÅÞÎÙÍ, ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍ É ÃÅÌÙÍ"
msgid "'T' must be nonnegative"
msgstr "'T' ÄÏÌÖÅÎ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍ"
msgid "not enough data"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÄÁÎÎÙÈ"
msgid "the case k > 2 is unimplemented"
msgstr "ÓÌÕÞÁÊ k > 2 ÎÅ ÒÅÁÌÉÚÏ×ÁÎ"
msgid "'r' must be a single positive number"
msgstr "'r' ÄÏÌÖÎÏ ÂÙÔØ ÏÄÎÉÍ ÐÏÌÏÖÉÔÅÌØÎÙÍ ÞÉÓÌÏÍ."
msgid ""
"exactly one of 'n', 'delta', 'sd', 'power', and 'sig.level' must be NULL"
msgstr ""
"× ÔÏÞÎÏÓÔÉ ÏÄÉÎ ÉÚ 'n', 'delta', 'sd', 'power', 'sig.level' ÄÏÌÖÅÎ ÂÙÔØ NULL"
msgid "'sig.level' must be numeric in [0, 1]"
msgstr "'sig.level' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏÍ × [0, 1]"
msgid "exactly one of 'n', 'p1', 'p2', 'power', and 'sig.level' must be NULL"
msgstr ""
"× ÔÏÞÎÏÓÔÉ ÏÄÉÎ ÉÚ of 'n', 'p1', 'p2', 'power', 'sig.level' ÄÏÌÖÅÎ ÂÙÔØ NULL"
#, fuzzy
msgid "No p1 in [0, p2] can be found to achieve the desired power"
msgstr "îÅ ÎÁÊÄÅÎÙ p1 × [0, p2], ÞÔÏÂÙ ÄÏÓÔÉÞØ ÖÅÌÁÅÍÏÊ ÍÏÝÎÏÓÔÉ"
#, fuzzy
msgid "No p2 in [p1, 1] can be found to achieve the desired power"
msgstr "îÅ ÎÁÊÄÅÎÙ p2 × [p1, 1], ÞÔÏÂÙ ÄÏÓÔÉÞØ ÖÅÌÁÅÍÏÊ ÍÏÝÎÏÓÔÉ"
msgid "No significance level [0, 1] can be found to achieve the desired power"
msgstr "îÅ ÎÁÊÄÅÎ ÕÒÏ×ÅÎØ ÚÎÁÞÉÍÏÓÔÉ [0, 1], ÞÔÏÂÙ ÄÏÓÔÉÞØ ÖÅÌÁÅÍÏÊ ÍÏÝÎÏÓÔÉ"
msgid ""
"exactly one of 'groups', 'n', 'between.var', 'within.var', 'power', and 'sig."
"level' must be NULL"
msgstr ""
"× ÔÏÞÎÏÓÔÉ ÏÄÉÎ ÉÚ 'groups', 'n', 'between.var', 'within.var', 'power', 'sig."
"level' ÄÏÌÖÅÎ ÂÙÔØ NULL"
msgid "number of groups must be at least 2"
msgstr "ËÏÌÉÞÅÓÔ×Ï ÇÒÕÐÐ ÄÏÌÖÎÏ ÂÙÔØ ÐÏ ËÒÁÊÎÅÊ ÍÅÒÅ 2"
msgid "number of observations in each group must be at least 2"
msgstr "ËÏÌÉÞÅÓÔ×Ï ÎÁÂÌÀÄÅÎÉÊ × ËÁÖÄÏÊ ÇÒÕÐÐÅ ÄÏÌÖÎÏ ÂÙÔØ ËÁË ÍÉÎÉÍÕÍ 2"
msgid "'nterms' is missing with no default"
msgstr "'nterms' ÐÒÏÐÕÝÅÎ, ÕÍÏÌÞÁÎÉÊ ÎÅÔ"
msgid "'ppr' applies only to numerical variables"
msgstr "'ppr' ÐÒÉÍÅÎÑÅÔÓÑ ÔÏÌØËÏ Ë ÞÉÓÌÏ×ÙÍ ÐÅÒÅÍÅÎÎÙÍ"
msgid "mismatched 'x' and 'y'"
msgstr "ÎÅ ÓÏÏÔ×ÅÔÓÔ×ÕÀÝÉÅ 'x' É 'y'"
msgid "wrong number of columns in 'x'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ËÏÌÉÞÅÓÔ×Ï ËÏÌÏÎÏË × 'x'"
msgid "cannot rescale a constant/zero column to unit variance"
msgstr ""
"ÎÅ ÍÏÇÕ ÏÔÍÁÓÛÔÁÂÉÒÏ×ÁÔØ ÐÏÓÔÏÑÎÎÕÀ/ÎÕÌÅ×ÕÀ ËÏÌÏÎËÕ Ó ÅÄÉÎÉÞÎÏÊ ÄÉÓÐÅÒÓÉÅÊ"
msgid "PCA applies only to numerical variables"
msgstr "ÁÎÁÌÉÚ ÇÌÁ×ÎÙÈ ËÏÍÐÏÎÅÎÔ ÐÒÉÍÅÎÉÍ ÔÏÌØËÏ Ë ÞÉÓÌÏ×ÙÍ ÐÅÒÅÍÅÎÎÙÍ"
msgid "no scores are available: refit with 'retx=TRUE'"
msgstr "ÎÅÔ ÄÏÓÔÕÐÎÙÈ ×ËÌÁÄÏ×: ÐÏÄÇÏÎÑÀ ÅÝÅ ÒÁÚ Ó 'retx=TRUE'"
msgid "'newdata' must be a matrix or data frame"
msgstr "'newdata' ÄÏÌÖÎÁ ÂÙÔØ ÍÁÔÒÉÃÅÊ ÉÌÉ ÔÁÂÌÉÃÅÊ ÄÁÎÎÙÈ"
msgid ""
"'newdata' does not have named columns matching one or more of the original "
"columns"
msgstr ""
"Õ 'newdata' ÎÅÔ ÉÍÅÎÏ×ÁÎÎÙÈ ËÏÌÏÎÏË, ÓÏÏÔ×ÅÔÓÔ×ÕÀÝÉÈ ÏÄÎÏÊ ÉÌÉ ÂÏÌÅÅ "
"ÉÓÈÏÄÎÙÍ ËÏÌÏÎËÁÍ"
msgid "'newdata' does not have the correct number of columns"
msgstr "'newdata' ÎÅ ÉÍÅÅÔ ÐÒÁ×ÉÌØÎÏÇÏ ËÏÌÉÞÅÓÔ×Á ËÏÌÏÎÏË"
msgid "both 'x' and 'covmat' were supplied: 'x' will be ignored"
msgstr "ÕËÁÚÁÎÙ É 'x', É 'covmat': 'x' ÂÕÄÅÔ ÐÒÏÐÕÝÅÎÏ"
msgid "'princomp' can only be used with more units than variables"
msgstr ""
"'princomp' ÍÏÖÅÔ ÂÙÔØ ÉÓÐÏÌØÚÏ×ÁÎÏ ÔÏÌØËÏ ÅÓÌÉ ÎÁÂÌÀÄÅÎÉÊ ÂÏÌØÛÅ ÞÅÍ "
"ÐÅÒÅÍÅÎÎÙÈ"
msgid "cannot use 'cor = TRUE' with a constant variable"
msgstr "ÎÅ ÍÏÇÕ ÉÓÐÏÌØÚÏ×ÁÔØ 'cor=TRUE' Ó ÐÏÓÔÏÑÎÎÏÊ ÐÅÒÅÍÅÎÎÏÊ"
msgid "covariance matrix is not non-negative definite"
msgstr "ËÏ×ÁÒÉÁÃÉÏÎÎÁÑ ÍÁÔÒÉÃÁ ÎÅ Ñ×ÌÑÅÔÓÑ ÎÅÏÔÒÉÃÁÔÅÌØÎÏ ÏÐÒÅÄÅÌÅÎÎÏÊ"
msgid "argument does not include a 'qr' component"
msgstr "ÁÒÇÕÍÅÎÔ ÎÅ ×ËÌÀÞÁÅÔ ËÏÍÐÏÎÅÎÔ 'qr'"
msgid "argument does not include an 'effects' component"
msgstr "ÁÒÇÕÍÅÎÔ ÎÅ ×ËÌÀÞÁÅÔ ËÏÍÐÏÎÅÎÔ 'effects'"
msgid "'proj' is not implemented for multiple responses"
msgstr "'proj' ÄÌÑ ÍÎÏÖÅÓÔ×ÅÎÎÙÈ ÏÔËÌÉËÏ× ÎÅ ÒÅÁÌÉÚÏ×ÁÎ"
msgid "table 'x' should have 2 entries"
msgstr "ÔÁÂÌÉÃÁ 'x' ÄÏÌÖÎÁ ÉÍÅÔØ Ä×Á ËÏÍÐÏÎÅÎÔÁ"
msgid "elements of 'n' must be positive"
msgstr "ÜÌÅÍÅÎÔÙ 'n' ÄÏÌÖÎÙ ÂÙÔØ ÐÏÌÏÖÉÔÅÌØÎÙ"
msgid "elements of 'x' must be nonnegative"
msgstr "ÜÌÅÍÅÎÔÙ 'x' ÄÏÌÖÎÙ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙ"
msgid "elements of 'x' must not be greater than those of 'n'"
msgstr "ÜÌÅÍÅÎÔÙ 'x' ÎÅ ÄÏÌÖÎÙ ÂÙÔØ ÂÏÌØÛÅ, ÞÅÍ ÜÌÅÍÅÎÔÙ 'n'"
msgid "'p' must have the same length as 'x' and 'n'"
msgstr "'p' ÄÏÌÖÅÎ ÉÍÅÔØ ÔÕ ÖÅ ÄÌÉÎÕ, ÞÔÏ É 'x' É 'n'"
msgid "elements of 'p' must be in (0,1)"
msgstr "ÜÌÅÍÅÎÔÙ 'p' ÄÏÌÖÎÙ ÂÙÔØ × (0,1)"
msgid "y is empty or has only NAs"
msgstr "y ÐÕÓÔÏ ÉÌÉ ×ËÌÀÞÁÅÔ ÌÉÛØ NAs"
msgid "'formula' missing"
msgstr "'formula' ÐÒÏÐÕÝÅÎÁ"
msgid "'type' must be 1 or 3 for ordered factors"
msgstr "'type' ÄÏÌÖÅÎ ÂÙÔØ 1 ÉÌÉ 3 ÄÌÑ ÕÐÏÒÑÄÏÞÅÎÎÙÈ ÆÁËÔÏÒÏ×"
msgid "factors are not allowed"
msgstr "ÆÁËÔÏÒÙ ÎÅ ÒÁÚÒÅÛÅÎÙ"
msgid "missing values and NaN's not allowed if 'na.rm' is FALSE"
msgstr "ÐÒÏÐÕÝÅÎÎÙÅ ÚÎÁÞÅÎÉÑ É NaNs ÎÅ ÒÁÚÒÅÛÅÎÙ ÅÓÌÉ 'na.rm' = FALSE"
msgid "'probs' outside [0,1]"
msgstr "'probs' ×ÎÅ [0,1]"
msgid "invalid argument 'n'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'n'"
msgid "invalid argument 'r'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'r'"
msgid "invalid argument 'c'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'c'"
msgid "arguments 'r' and 'c' must have the same sums"
msgstr "ÁÒÇÕÍÅÎÔÙ 'r' É 'c' ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÉÎÁËÏ×ÙÅ ÓÕÍÍÙ"
msgid "'relevel' only for (unordered) factors"
msgstr "'relevel' -- ÔÏÌØËÏ ÄÌÑ (ÎÅÕÐÏÒÑÄÏÞÅÎÎÙÈ) ÆÁËÔÏÒÏ×"
msgid "'relevel' only for unordered factors"
msgstr "'relevel' -- ÔÏÌØËÏ ÄÌÑ ÎÅÕÐÏÒÑÄÏÞÅÎÎÙÈ ÆÁËÔÏÒÏ×"
msgid "'ref' must be of length one"
msgstr "'ref' ÄÏÌÖÅÎ ÂÙÔØ ÄÌÉÎÏÊ ÏÄÉÎ"
msgid "'ref' must be an existing level"
msgstr "'ref' ÄÏÌÖÅÎ ÂÙÔØ ÓÕÝÅÓÔ×ÕÀÝÉÍ ÕÒÏ×ÎÅÍ"
msgid "ref = %d must be in 1L:%d"
msgstr "ref = %d ÄÏÌÖÅÎ ÂÙÔØ × ÐÒÅÄÅÌÁÈ 1L:%d"
msgid "'sep' must be a character string"
msgstr "'sep' ÄÏÌÖÅÎ ÂÙÔØ ÔÅËÓÔÏ×ÏÊ ÓÔÒÏËÏÊ"
msgid "failed to guess time-varying variables from their names"
msgstr "ÎÅ ÐÏÌÕÞÉÌÏÓØ ÓÏÚÄÁÔØ ×ÒÅÍÅÎÎùÅ ÐÅÒÅÍÅÎÎÙÅ ÉÚ ÉÈ ÉÍÅÎ"
msgid "'varying' arguments must be the same length"
msgstr "ÁÒÇÕÍÅÎÔÙ 'varying' ÄÏÌÖÎÙ ÂÙÔØ ÏÄÎÏÊ ÄÌÉÎÙ"
msgid "'lengths(varying)' must all match 'length(times)'"
msgstr "'lengths(varying)' ×ÓÅ ÄÏÌÖÎÙ ÓÏÏÔ×ÅÔÓÔ×Ï×ÁÔØ 'length(times)'"
msgid "there are records with missing times, which will be dropped."
msgstr "ÚÄÅÓØ ÅÓÔØ ÚÁÐÉÓÉ Ó ÐÒÏÐÕÝÅÎÎÙÍÉ ×ÒÅÍÅÎÁÍÉ, ÏÎÉ ÂÕÄÕÔ ÓÂÒÏÛÅÎÙ."
msgid "some constant variables (%s) are really varying"
msgstr "ÎÅËÏÔÏÒÁÑ ÐÏÓÔÏÑÎÎÁÑ ÐÅÒÅÍÅÎÎÁÑ (%s) ÎÁ ÓÁÍÏÍ ÄÅÌÅ ×ÁÒØÉÒÕÅÔ"
msgid "no 'reshapeWide' attribute, must specify 'varying'"
msgstr "ÎÅÔ ÁÔÒÉÂÕÔÁ 'reshapeWide', ÎÁÄÏ ÚÁÄÁÔØ 'varying'"
msgid "'varying' must be nonempty list or vector"
msgstr "'varying' ÄÏÌÖÅÎ ÂÙÔØ ÎÅÐÕÓÔÙÍ ÓÐÉÓËÏÍ ÉÌÉ ×ÅËÔÏÒÏÍ"
msgid "length of 'v.names' does not evenly divide length of 'varying'"
msgstr "ÄÌÉÎÁ 'v.names' ÎÅ ÄÅÌÉÔÓÑ ÂÅÚ ÏÓÔÁÔËÁ ÄÌÉÎÏÊ 'varying'"
msgid ""
"length of 'varying' must be the product of length of 'v.names' and length of "
"'times'"
msgstr ""
"ÄÌÉÎÁ 'varying' ÄÏÌÖÎÁ ÂÙÔØ ÐÒÏÉÚ×ÅÄÅÎÉÅÍ ÄÌÉÎÙ 'v.names' É ÄÌÉÎÙ 'times'"
msgid "'k' must be positive"
msgstr "'k' ÄÏÌÖÅÎ ÂÙÔØ ÐÏÌÏÖÉÔÅÌÅÎ"
msgid "'k' must be odd! Changing 'k' to %d"
msgstr "'k' ÄÏÌÖÅÎ ÂÙÔØ ÎÅÞÅÔÎÙÍ! éÚÍÅÎÑÀ 'k' ÎÁ %d"
msgid "'k' is bigger than 'n'! Changing 'k' to %d"
msgstr "'k' ÂÏÌØÛÅ 'n'! éÚÍÅÎÑÀ 'k' ÎÁ %d"
msgid "bandwidth 'k' must be >= 1 and odd!"
msgstr "ÄÉÁÐÁÚÏÎ 'k' ÄÏÌÖÅÎ ÂÙÔØ >= 1 É ÎÅÞÅÔÎÙÍ!"
msgid "argument 'object' has an impossible length"
msgstr "ÁÒÇÕÍÅÎÔ 'object' ÉÍÅÅÔ ÎÅ×ÏÚÍÏÖÎÕÀ ÄÌÉÎÕ"
msgid "no 'getInitial' method found for \"%s\" objects"
msgstr "ÎÅ ÎÁÊÄÅÎÏ ÍÅÔÏÄÁ 'getInitial' ÄÌÑ ÏÂßÅËÔÏ× \"%s\""
msgid "sample size must be between 3 and 5000"
msgstr "ÒÁÚÍÅÒ ×ÙÂÏÒËÉ ÄÏÌÖÅÎ ÂÙÔØ ÍÅÖÄÕ 3 É 5000"
msgid "all 'x' values are identical"
msgstr "×ÓÅ ÚÎÁÞÅÎÉÑ 'x' ÒÁ×ÎÙ"
msgid "attempt to smooth non-numeric values"
msgstr "ÐÏÐÙÔËÁ ÓÇÌÁÄÉÔØ ÎÅÞÉÓÌÏ×ÙÅ ÚÎÁÞÅÎÉÑ"
msgid "attempt to smooth NA values"
msgstr "ÐÏÐÙÔËÁ ÓÇÌÁÄÉÔØ ÐÒÏÐÕÝÅÎÎÙÅ ÚÎÁÞÅÎÉÑ"
msgid "invalid 'endrule' argument"
msgstr "ÎÅÄÏÐÕÓÔÉÍÙÊ ÁÒÇÕÍÅÎÔ 'endrule'"
msgid ".nknots.smspl() is now exported; use it instead of n.knots()"
msgstr ".nknots.smspl() ÎÅ ÜËÓÐÏÒÔÉÒÏ×ÁÎ; ×ÍÅÓÔÏ ÜÔÏÇÏ ÐÏÌØÚÕÊÔÅÓØ n.knots()"
msgid "invalid 'control.spar'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'control.spar'"
msgid "missing or infinite values in inputs are not allowed"
msgstr "ÐÒÏÐÕÝÅÎÎÙÅ ÉÌÉ ÂÅÓËÏÎÅÞÎÙÅ ÚÎÁÞÅÎÉÑ ÎÅ ÒÁÚÒÅÛÅÎÙ ×Ï ××ÏÄÅ"
msgid "invalid number of points"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÞÉÓÌÏ ÔÏÞÅË"
msgid "lengths of 'x' and 'w' must match"
msgstr "ÄÌÉÎÙ 'x' É 'w' ÄÏÌÖÎÙ ÓÏÏÔ×ÅÔÓÔ×Ï×ÁÔØ"
msgid "all weights should be non-negative"
msgstr "×ÓÅ ×ÅÓÁ ÄÏÌÖÎÙ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙ"
msgid "some weights should be positive"
msgstr "ÎÅËÏÔÏÒÙÅ ×ÅÓÁ ÄÏÌÖÎÙ ÂÙÔØ ÐÏÌÏÖÉÔÅÌØÎÙ"
msgid "'tol' must be strictly positive and finite"
msgstr "'tol' ÄÏÌÖÅÎ ÂÙÔØ ÎÅÎÕÌÅ×ÙÍ ÐÏÌÏÖÉÔÅÌØÎÙÍ É ËÏÎÅÞÎÙÍ"
msgid "invalid 'keep.stuff'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'keep.stuff'"
msgid "need at least four unique 'x' values"
msgstr "ÎÕÖÎÙ ËÁË ÍÉÎÉÍÕÍ 4 ÕÎÉËÁÌØÎÙÈ ÚÎÁÞÅÎÉÑ 'x'"
msgid "'cv' must not be NA when 'df' is specified"
msgstr "'cv' ÎÅ ÍÏÖÅÔ ÂÙÔØ NA × ÓÌÕÞÁÅ, ËÏÇÄÁ ÕËÁÚÁÎ 'df'"
msgid "cross-validation with non-unique 'x' values seems doubtful"
msgstr "ËÒÏÓÓ-×ÁÌÉÄÁÃÉÑ Ó ÎÅÕÎÉËÁÌØÎÙÍÉ ÚÎÁÞÅÎÉÑÍÉ 'x' ×ÙÇÌÑÄÉÔ ÓÏÍÎÉÔÅÌØÎÏ"
msgid "Numeric 'all.knots' must be strictly increasing"
msgstr "þÉÓÌÏ×ÙÅ 'all.knots' ÄÏÌÖÎÙ ÌÉÛØ Õ×ÅÌÉÞÉ×ÁÔØÓÑ"
msgid "'all.knots' is vector of knots; 'nknots' specification is disregarded"
msgstr "'all.knots' -- ÜÔÏ ×ÅËÔÏÒ ÕÚÌÏ×; ÚÎÁÞÅÎÉÅ 'nknots' ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎÏ"
msgid "numeric 'all.knots' must cover [0,1] (= the transformed data-range)"
msgstr ""
"ÞÉÓÌÏ×ÙÅ 'all.knots' ÄÏÌÖÎÙ ÐÏËÒÙ×ÁÔØ [0,1] (= ÔÒÁÎÓÆÏÒÍÉÒÏ×ÁÎÎÙÊ ÒÁÚÂÒÏÓ "
"ÄÁÎÎÙÈ)"
msgid "'all.knots' is TRUE; 'nknots' specification is disregarded"
msgstr "'all.knots' ×ÙÓÔÁ×ÌÅÎÏ × TRUE; ÚÎÁÞÅÎÉÅ 'nknots' ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎÏ"
msgid "'nknots' must be numeric (in {1,..,n})"
msgstr "'nknots' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏÍ (× ÐÒÅÄÅÌÁÈ {1,..,n})"
msgid "'nknots' must be at least 1"
msgstr "'nknots' ÄÏÌÖÅÎ ÂÙÔØ ÐÏ ÍÅÎØÛÅÊ ÍÅÒÅ 1"
msgid "cannot use more inner knots than unique 'x' values"
msgstr ""
"ÎÅ ÍÏÇÕ ÉÓÐÏÌØÚÏ×ÁÔØ ×ÎÕÔÒÅÎÎÉÈ ÕÚÌÏ× ÂÏÌØÛÅ, ÞÅÍ ÕÎÉËÁÌØÎÙÈ ÚÎÁÞÅÎÉÊ 'x'"
msgid "must not specify both 'spar' and 'lambda'"
msgstr "ÎÅÌØÚÑ ÏÐÒÅÄÅÌÑÔØ É 'spar', É 'lambda'"
msgid "'spar' must be of length 1"
msgstr "'ref' ÄÏÌÖÅÎ ÂÙÔØ ÅÄÉÎÉÞÎÏÊ ÄÌÉÎÙ"
msgid "not using invalid df; must have 1 < df <= n := #{unique x} ="
msgstr ""
"ÎÅ ÉÓÐÏÌØÚÕÀ ÎÅÐÒÁ×ÉÌØÎÙÊ df; ÎÕÖÎÏ, ÞÔÏÂÙ 1 < df <= n := #{unique x} ="
msgid "NA lev[]; probably smoothing parameter 'spar' way too large!"
msgstr "NA lev[]; ×ÏÚÍÏÖÎÏ, ÓÇÌÁÖÉ×ÁÀÝÉÊ ÐÁÒÁÍÅÔÒ 'spar' ÓÌÉÛËÏÍ ×ÅÌÉË!"
msgid "setting df = 1 __use with care!__"
msgstr "ÕÓÔÁÎÁ×ÌÉ×ÁÀ df = 1 __ÉÓÐÏÌØÚÏ×ÁÔØ Ó ÏÓÔÏÒÏÖÎÏÓÔØÀ!__"
msgid "need result of smooth.spline(keep.data = TRUE)"
msgstr "ÎÕÖÅÎ ÒÅÚÕÌØÔÁÔ smooth.spline(keep.data=TRUE)"
msgid "type = \"partial\" is not yet implemented"
msgstr "ÔÉÐ = \"partial\" ÐÏËÁ ÎÅ ÒÁÚÒÁÂÏÔÁÎ"
msgid "not a valid \"smooth.spline\" object"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÏÂßÅËÔ \"smooth.spline\""
msgid "'span' must be between 0 and 1."
msgstr "'span' ÄÏÌÖÅÎ ÂÙÔØ ÍÅÖÄÕ 0 É 1."
msgid "'y' must be numeric vector"
msgstr "'y' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏ×ÙÍ ×ÅËÔÏÒÏÍ"
msgid "number of observations in 'x' and 'y' must match."
msgstr "ËÏÌÉÞÅÓÔ×Ï ÎÁÂÌÀÄÅÎÉÊ × 'x' É 'y' ÄÏÌÖÎÏ ÓÏÏÔ×ÅÔÓÔ×Ï×ÁÔØ."
msgid "number of weights must match number of observations."
msgstr "ËÏÌÉÞÅÓÔ×Ï ×ÅÓÏ× ÄÏÌÖÎÏ ÓÏÏÔ×ÅÔÓÔ×Ï×ÁÔØ ËÏÌÉÞÅÓÔ×Õ ÎÁÂÌÀÄÅÎÉÊ."
msgid "'x' must be between 0 and 1 for periodic smooth"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÍÅÖÄÕ 0 É 1 ÄÌÑ ÐÅÒÉÏÄÉÞÅÓËÏÇÏ ÓÇÌÁÖÉ×ÁÎÉÑ"
msgid "no finite observations"
msgstr "ÎÅÔ ËÏÎÅÞÎÙÈ ÎÁÂÌÀÄÅÎÉÊ"
msgid "'p' must be between 0 and 0.5"
msgstr "'p' ÄÏÌÖÅÎ ÂÙÔØ ÍÅÖÄÕ 0 É 0.5"
msgid "length of 'p' must be 1 or equal the number of columns of 'x'"
msgstr "ÄÌÉÎÁ 'p' ÄÏÌÖÎÁ ÂÙÔØ 1 ÉÌÉ ÒÁ×ÎÁ ËÏÌÉÞÅÓÔ×Õ ËÏÌÏÎÏË 'x'"
msgid "'x' must be a time series or an ar() fit"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ×ÒÅÍÅÎÎÙÍ ÒÑÄÏÍ ÉÌÉ ÐÏÄÇÏÎËÏÊ ar()"
msgid "must specify 'spans' or a valid kernel"
msgstr "ÎÁÄÏ ÕËÁÚÁÔØ 'spans' ÉÌÉ ÐÒÁ×ÉÌØÎÏÅ ÑÄÒÏ"
msgid "coverage probability out of range [0,1)"
msgstr "ÐÏËÒÙ×ÁÀÝÁÑ ×ÅÒÏÑÔÎÏÓÔØ ×ÎÅ [0,1)"
msgid "spline: first and last y values differ - using y[1] for both"
msgstr ""
"spline: ÐÅÒ×ÏÅ É ÐÏÓÌÅÄÎÅÅ ÚÎÁÞÅÎÉÑ y ÒÁÚÌÉÞÎÙ -- ÉÓÐÏÌØÚÕÀ y[1] ÄÌÑ ÏÂÏÉÈ"
msgid "'y' must be increasing or decreasing"
msgstr "'y' ÄÏÌÖÎÏ ÔÏÌØËÏ Õ×ÅÌÉÞÉ×ÁÔØÓÑ ÉÌÉ ÕÍÅÎØÛÁÔØÓÑ"
msgid "'spline' requires n >= 1"
msgstr "'spline' ÔÒÅÂÕÅÔ n >= 1"
msgid "spline: first and last y values differ - using y[1L] for both"
msgstr ""
"spline: ÐÅÒ×ÏÅ É ÐÏÓÌÅÄÎÅÅ ÚÎÁÞÅÎÉÑ y ÒÁÚÌÉÞÎÙ -- ÉÓÐÏÌØÚÕÀ y[1L] ÄÌÑ ÏÂÏÉÈ"
msgid "'deriv' must be between 0 and 3"
msgstr "'deriv' ÄÏÌÖÎÏ ÂÙÔØ ÍÅÖÄÕ 0 É 3"
msgid "'x' must be *strictly* increasing (non - NA)"
msgstr "'x' ÄÏÌÖÎÏ *ÔÏÌØËÏ* Õ×ÅÌÉÞÉ×ÁÔØÓÑ (ÎÅ - NA)"
msgid "stepfun: 'x' must be ordered increasingly"
msgstr "stepfun: 'x' ÄÏÌÖÅÎ ÂÙÔØ ÕÐÏÒÑÄÏÞÅÎ ÐÏ ×ÏÚÒÁÓÔÁÎÉÀ"
msgid "'x' must have length >= 1"
msgstr "'x' ÄÏÌÖÅÎ ÉÍÅÔØ ÄÌÉÎÕ >= 1"
msgid "'y' must be one longer than 'x'"
msgstr "'y' ÄÏÌÖÅÎ ÂÙÔØ ÄÌÉÎÎÅÅ ÞÅÍ 'x'"
msgid "no 'as.stepfun' method available for 'x'"
msgstr "ÎÅÔ ÄÏÓÔÕÐÎÏÇÏ ÍÅÔÏÄÁ 'as.stepfun' ÄÌÑ 'x'"
msgid "not a valid step function"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÛÁÇÏ×ÁÑ ÆÕÎËÃÉÑ"
msgid "'plot.stepfun' called with wrong type of argument 'x'"
msgstr "'plot.stepfun' ×ÙÚ×ÁÎ Ó ÎÅÐÒÁ×ÉÌØÎÙÍ ÔÉÐÏÍ ÁÒÇÕÍÅÎÔÁ 'x'"
msgid "%s must be 0 or 1"
msgstr "%s ÄÏÌÖÅÎ ÂÙÔØ 0 ÉÌÉ 1"
msgid "only univariate series are allowed"
msgstr "ÔÏÌØËÏ ÏÄÎÏÍÅÒÎÙÅ ÓÅÒÉÉ ÒÁÚÒÅÛÅÎÙ"
msgid "series is not periodic or has less than two periods"
msgstr "ÓÅÒÉÑ ÎÅ ÐÅÒÉÏÄÉÞÅÓËÁÑ ÉÌÉ ÉÍÅÅÔ ÍÅÎÅÅ ÞÅÍ Ä×Á ÐÅÒÉÏÄÁ"
msgid "unknown string value for s.window"
msgstr "ÎÅÉÚ×ÅÓÔÎÏÅ ÚÎÁÞÅÎÉÅ ÓÔÒÏËÉ ÄÌÑ 's.window'"
msgid "'cutpoints' must be unique in 0 < cuts < 1, but are ="
msgstr "'cutpoints' ÄÏÌÖÎÙ ÂÙÔØ ÕÎÉËÁÌØÎÙ × ÐÒÅÄÅÌÁÈ 0 < cuts < 1, ÎÏ ÏÎÉ ="
msgid "'cutpoints' must be unique, but are ="
msgstr "'cutpoints' ÄÏÌÖÎÙ ÂÙÔØ ÕÎÉËÁÌØÎÙ, ÎÏ ÏÎÉ ="
msgid "'x' must be between -1 and 1"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÍÅÖÄÕ -1 É 1"
msgid "'x' must be between %s and %s"
msgstr "'x' ÄÏÌÖÅÎ ÂÙÔØ ÍÅÖÄÕ %s É %s"
msgid "number of 'cutpoints' must be one less than number of symbols"
msgstr ""
"ËÏÌÉÞÅÓÔ×Ï 'cutpoints' ÄÏÌÖÎÏ ÂÙÔØ ÎÁ ÏÄÉÎ ÍÅÎØÛÅ, ÞÅÍ ËÏÌÉÞÅÓÔ×Ï ÓÉÍ×ÏÌÏ×"
msgid "number of 'cutpoints' must be one more than number of symbols"
msgstr ""
"ËÏÌÉÞÅÓÔ×Ï 'cutpoints' ÄÏÌÖÎÏ ÂÙÔØ ÎÁ ÏÄÉÎ ÂÏÌØÛÅ, ÞÅÍ ËÏÌÉÞÅÓÔ×Ï ÓÉÍ×ÏÌÏ×"
msgid "must have 2 'symbols' for logical 'x' argument"
msgstr "ÎÁÄÏ 2 'symbols' ÄÌÑ ÌÏÇÉÞÅÓËÏÇÏ ÁÒÇÕÍÅÎÔÁ 'x'"
msgid "invalid 'abbr.colnames'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'abbr.colnames'"
msgid "'mu' must be a single number"
msgstr "'mu' ÄÏÌÖÅÎ ÂÙÔØ ÅÄÉÎÉÞÎÙÍ ÞÉÓÌÏÍ"
msgid "'y' is missing for paired test"
msgstr "'y' ÐÒÏÐÕÝÅÎÏ ÄÌÑ ÐÁÒÎÏÇÏ ÔÅÓÔÁ"
msgid "'main' must be TRUE, FALSE, NULL or character (vector)."
msgstr "'main' ÄÏÌÖÅÎ ÂÙÔØ TRUE, FALSE, NULL ÉÌÉ ÔÅËÓÔ (×ÅËÔÏÒ)."
msgid "x is not a vector or univariate time series"
msgstr "x ÎÅ Ñ×ÌÑÅÔÓÑ ×ÅËÔÏÒÏÍ ÉÌÉ ÏÄÎÏÍÅÒÎÙÍ ×ÒÅÍÅÎÎÙÍ ÒÑÄÏÍ"
msgid "singularities in regression"
msgstr "ÓÉÎÇÕÌÑÒÎÏÓÔÉ × ÒÅÇÒÅÓÓÉÉ"
msgid "'ts' object must have one or more observations"
msgstr "'ts'-ÏÂßÅËÔ ÄÏÌÖÅÎ ÉÍÅÔØ ÏÄÎÏ ÉÌÉ ÂÏÌÅÅ ÎÁÂÌÀÄÅÎÉÊ"
msgid "'start' cannot be after 'end'"
msgstr "'start' ÎÅ ÍÏÖÅÔ ÂÙÔØ ÐÏÓÌÅ 'end'"
#, fuzzy
msgid "'end' must be a whole number of cycles after 'start'"
msgstr "'centers' ÄÏÌÖÎÙ ÂÙÔØ ÞÉÓÌÏÍ ÉÌÉ ÍÁÔÒÉÃÅÊ"
msgid "no time series supplied"
msgstr "ÎÅ ÕËÁÚÁÎÙ ×ÒÅÍÅÎÎÙÅ ÒÑÄÙ"
msgid "not all series have the same frequency"
msgstr "ÎÅ ×ÓÅ ÓÅÒÉÉ ÉÍÅÀÔ ÏÄÉÎÁËÏ×ÕÀ ÞÁÓÔÏÔÕ"
#, fuzzy
msgid "not all series have the same phase"
msgstr "ÎÅ ×ÓÅ ÓÅÒÉÉ ÉÍÅÀÔ ÏÄÉÎÁËÏ×ÕÀ ÞÁÓÔÏÔÕ"
msgid "non-intersecting series"
msgstr "ÎÅÐÅÒÅÓÅËÁÀÝÉÅÓÑ ÓÅÒÉÉ"
msgid "non-time series not of the correct length"
msgstr "×ÒÅÍÅÎÎÙÅ ÒÑÄÙ ÎÅËÏÒÒÅËÔÎÏÊ ÄÌÉÎÙ"
msgid "time series contains internal NAs"
msgstr "×ÒÅÍÅÎÎÙÅ ÒÑÄÙ ÓÏÄÅÒÖÁÔ ×ÎÕÔÒÅÎÎÉÅ NAs"
msgid "series is corrupt, with no 'tsp' attribute"
msgstr "ÓÅÒÉÉ ÐÏ×ÒÅÖÄÅÎÙ, ÁÔÒÉÂÕÔ 'tsp' ÏÔÓÕÔÓÔ×ÕÅÔ"
msgid "series is corrupt: length %d with 'tsp' implying %d"
msgstr "ÓÅÒÉÉ ÐÏ×ÒÅÖÄÅÎÙ: ÄÌÉÎÁ %d Ó 'tsp' ÐÏÄÒÁÚÕÍÅ×ÁÅÔ %d"
msgid "cannot plot more than 10 series as \"multiple\""
msgstr "ÎÅ ÍÏÇÕ ÎÁÒÉÓÏ×ÁÔØ ÂÏÌØÛÅ ÞÅÍ 10 ÓÅÒÉÊ ËÁË \"multiple\""
msgid "scatter plots only for univariate time series"
msgstr "ÔÏÞËÏ×ÙÅ ÇÒÁÆÉËÉ -- ÔÏÌØËÏ ÄÌÑ ÏÄÎÏÍÅÒÎÙÈ ×ÒÅÍÅÎÎÙÈ ÒÑÄÏ×"
msgid "'xy.labels' must be logical or character"
msgstr "'xy.labels' ÄÏÌÖÎÙ ÂÙÔØ ÓÉÍ×ÏÌÁÍÉ ÉÌÉ ÌÏÇÉÞÅÓËÉÍÉ"
#, fuzzy
msgid "'frequency' and 'deltat' are both not NULL and are inconsistent"
msgstr "'frequency' É 'deltat' ÕËÁÚÁÎÙ ÏÂÁ É ÎÅÓÏ×ÍÅÓÔÉÍÙ"
msgid "'frequency' not changed"
msgstr "'frequency' ÎÅ ÉÚÍÅÎÉÌÁÓØ"
msgid "bad value for 'start'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÚÎÁÞÅÎÉÅ ÄÌÑ 'start'"
msgid "'start' value not changed"
msgstr "ÚÎÁÞÅÎÉÅ 'start' ÎÅ ÉÚÍÅÎÉÌÏÓØ"
msgid "bad value for 'end'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÚÎÁÞÅÎÉÅ ÄÌÑ 'end'"
msgid "'end' value not changed"
msgstr "ÚÎÁÞÅÎÉÅ 'end' ÎÅ ÉÚÍÅÎÉÌÏÓØ"
msgid "'start' > 'end'"
msgstr "'start' > 'end'"
msgid "extending time series when replacing values"
msgstr "Õ×ÅÌÉÞÉ×ÁÀ ×ÒÅÍÅÎÎÏÊ ÒÑÄ ×Ï ×ÒÅÍÑ ÚÁÍÅÎÙ ÚÎÁÞÅÎÉÊ"
msgid "times to be replaced do not match"
msgstr "×ÒÅÍÅÎÁ ÄÌÑ ÚÁÍÅÎÙ ÎÅ ÓÏÏÔ×ÅÔÓÔ×ÕÀÔ"
msgid "no replacement values supplied"
msgstr "ÎÅ ÕËÁÚÁÎÙ ÚÁÍÅÎÙ"
msgid "too many replacement values supplied"
msgstr "ÕËÁÚÁÎÏ ÓÌÉÛËÏÍ ÍÎÏÇÏ ÚÁÍÅÎÑÀÝÉÈ ÚÎÁÞÅÎÉÊ"
msgid ""
"number of values supplied is not a sub-multiple of the number of values to "
"be replaced"
msgstr ""
"ÕËÁÚÁÎÎÏÅ ËÏÌÉÞÅÓÔ×Ï ÚÎÁÞÅÎÉÊ ÎÅ Ñ×ÌÑÅÔÓÑ ÍÎÏÖÉÔÅÌÅÍ ËÏÌÉÞÅÓÔ×Á ÚÎÁÞÅÎÉÊ, "
"ËÏÔÏÒÙÅ ÎÁÄÏ ÚÁÍÅÎÉÔØ"
msgid "only replacement of elements is allowed"
msgstr "ÒÁÚÒÅÛÅÎÙ ÔÏÌØËÏ ÚÁÍÅÎÙ ÜÌÅÍÅÎÔÏ×"
msgid "'model' must be list"
msgstr "'model' ÄÏÌÖÎÁ ÂÙÔØ ÓÐÉÓËÏÍ"
msgid "'n' must be strictly positive"
msgstr "'n' ÄÏÌÖÅÎ ÂÙÔØ ÎÅÎÕÌÅ×ÙÍ ÐÏÌÏÖÉÔÅÌØÎÙÍ"
msgid "'ar' part of model is not stationary"
msgstr "'ar'-ÞÁÓÔØ ÍÏÄÅÌÉ ÎÅÓÔÁÃÉÏÎÁÒÎÁ"
msgid "burn-in 'n.start' must be as long as 'ar + ma'"
msgstr "ÉÓÈÏÄÎÏÅ 'n.start' ÄÏÌÖÎÏ ÂÙÔØ ÄÌÉÎÏÊ Ó 'ar + ma'"
msgid "'model$order' must be of length 3"
msgstr "'model$order' ÄÏÌÖÎÁ ÂÙÔØ ÄÌÉÎÙ 3"
msgid "inconsistent specification of 'ar' order"
msgstr "ÐÒÏÔÉ×ÏÒÅÞÉ×ÏÅ ÕËÁÚÁÎÉÅ ÎÁ ÐÏÒÑÄÏË 'ar'"
msgid "inconsistent specification of 'ma' order"
msgstr "ÐÒÏÔÉ×ÏÒÅÞÉ×ÏÅ ÕËÁÚÁÎÉÅ ÎÁ ÐÏÒÑÄÏË 'ma'"
msgid "number of differences must be a positive integer"
msgstr "ËÏÌÉÞÅÓÔ×Ï ÒÁÚÌÉÞÉÊ ÄÏÌÖÎÏ ÂÙÔØ ÐÏÌÏÖÉÔÅÌØÎÙÍ ÃÅÌÙÍ ÞÉÓÌÏÍ"
msgid "need an object with call component"
msgstr "ÎÕÖÅÎ ÏÂßÅËÔ Ó ËÏÍÐÏÎÅÎÔÏÍ 'call'"
msgid "'ratio' must be a single positive number"
msgstr "'ratio' ÄÏÌÖÎÏ ÂÙÔØ ÏÄÎÉÍ ÐÏÌÏÖÉÔÅÌØÎÙÍ ÞÉÓÌÏÍ."
msgid "'x' and 'w' must have the same length"
msgstr "'x' É 'w' ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÉÎÁËÏ×ÕÀ ÄÌÉÎÕ"
#, fuzzy
msgid "not enough (non-missing) 'x' observations"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ (ËÏÎÅÞÎÙÈ) ÄÁÎÎÙÈ 'x'"
msgid "requested conf.level not achievable"
msgstr "ÚÁÄÁÎÎÙÊ ÄÏ×ÅÒÉÔÅÌØÎÙÊ ÉÎÔÅÒ×ÁÌ ÎÅ ÄÏÓÔÉÇÁÅÍ"
msgid ""
"cannot compute confidence interval when all observations are zero or tied"
msgstr ""
"ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ÄÏ×ÅÒÉÔÅÌØÎÙÊ ÉÎÔÅÒ×ÁÌ, ËÏÇÄÁ ×ÓÅ ÎÁÂÌÀÄÅÎÉÑ ÎÕÌÅ×ÙÅ ÉÌÉ "
"Ó×ÑÚÁÎÙ"
msgid "cannot compute exact confidence interval with ties"
msgstr "ÓÏ×ÐÁÄÁÀÝÉÅ ÚÎÁÞÅÎÉÑ: ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ÔÏÞÎÙÊ ÄÏ×ÅÒÉÔÅÌØÎÙÊ ÉÎÔÅÒ×ÁÌ"
msgid "cannot compute exact p-value with zeroes"
msgstr "ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ÔÏÞÎÏÅ p-ÚÎÁÞÅÎÉÅ ÐÒÉ ÎÁÌÉÞÉÉ ÎÕÌÅÊ"
msgid "cannot compute exact confidence interval with zeroes"
msgstr "ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ÔÏÞÎÙÊ ÄÏ×ÅÒÉÔÅÌØÎÙÊ ÉÎÔÅÒ×ÁÌ ÐÒÉ ÎÁÌÉÞÉÉ ÎÕÌÅÊ"
msgid "Requested conf.level not achievable"
msgstr "úÁÄÁÎÎÙÊ ÄÏ×ÅÒÉÔÅÌØÎÙÊ ÉÎÔÅÒ×ÁÌ ÎÅ ÄÏÓÔÉÇÎÕÔ"
msgid "cannot compute confidence interval when all observations are tied"
msgstr "ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ÄÏ×ÅÒÉÔÅÌØÎÙÊ ÉÎÔÅÒ×ÁÌ, ËÏÇÄÁ ×ÓÅ ÎÁÂÌÀÄÅÎÉÑ Ó×ÑÚÁÎÙ"
msgid "must supply either 'formula' or 'data'"
msgstr "ÎÕÖÎÏ ÕËÁÚÁÔØ ÌÉÂÏ 'formula', ÌÉÂÏ 'data'"
msgid "%s applies only to two-way tables"
msgstr "%s ÐÒÉÍÅÎÉÍ ÔÏÌØËÏ Ë Ä×ÕÈ×ÈÏÄÏ×ÙÍ ÔÁÂÌÉÃÁÍ"
msgid "too few distinct input values to fit an asymptotic regression model"
msgstr ""
"ÓÌÉÛËÏÍ ÍÁÌÏ ÒÁÚÌÉÞÁÀÝÉÈÓÑ ×ÈÏÄÎÙÈ ÚÎÁÞÅÎÉÊ ÄÌÑ ÐÏÄÇÏÎËÉ ÁÓÉÍÐÔÏÔÉÞÅÓËÏÊ "
"ÍÏÄÅÌÉ ÒÅÇÒÅÓÓÉÉ"
msgid "cannot fit an asymptotic regression model to these data"
msgstr "ÎÅ ÍÏÇÕ ÐÏÄÏÇÎÁÔØ ÁÓÉÍÐÔÏÔÉÞÅÓËÕÀ ÍÏÄÅÌØ ÒÅÇÒÅÓÓÉÉ ÄÌÑ ÜÔÉÈ ÄÁÎÎÙÈ"
msgid "too few observations to fit an asymptotic regression model"
msgstr "ÓÌÉÛËÏÍ ÍÁÌÏ ÎÁÂÌÀÄÅÎÉÊ ÄÌÑ ÐÏÄÇÏÎËÉ ÁÓÉÍÐÔÏÔÉÞÅÓËÏÊ ÍÏÄÅÌÉ ÒÅÇÒÅÓÓÉÉ"
msgid "too few distinct input values to fit the 'asympOff' model"
msgstr ""
"ÓÌÉÛËÏÍ ÍÁÌÏ ÒÁÚÌÉÞÁÀÝÉÈÓÑ ×ÈÏÄÎÙÈ ÚÎÁÞÅÎÉÊ ÄÌÑ ÐÏÄÇÏÎËÉ ÍÏÄÅÌÉ 'asympOff'"
msgid "too few distinct input values to fit the 'asympOrig' model"
msgstr ""
"ÓÌÉÛËÏÍ ÍÁÌÏ ÒÁÚÌÉÞÁÀÝÉÈÓÑ ×ÈÏÄÎÙÈ ÚÎÁÞÅÎÉÊ ÄÌÑ ÐÏÄÇÏÎËÉ ÍÏÄÅÌÉ 'asympOrig'"
msgid "too few distinct input values to fit a biexponential"
msgstr ""
"ÓÌÉÛËÏÍ ÍÁÌÏ ÒÁÚÌÉÞÁÀÝÉÈÓÑ ×ÈÏÄÎÙÈ ÚÎÁÞÅÎÉÊ ÄÌÑ ÐÏÄÇÏÎËÉ ÍÏÄÅÌÉ "
"'biexponential'"
msgid "must have length of response = length of second argument to 'SSfol'"
msgstr "ÎÁÄÏ, ÞÔÏÂÙ ÄÌÉÎÁ ÏÔËÌÉËÁ = ÄÌÉÎÅ ×ÔÏÒÏÇÏ ÁÒÇÕÍÅÎÔÁ 'SSfol'"
msgid "must have at least 4 observations to fit an 'SSfol' model"
msgstr "ÎÕÖÎÙ ËÁË ÍÉÎÉÍÕÍ 4 ÎÁÂÌÀÄÅÎÉÑ, ÞÔÏÂÙ ÐÏÄÏÇÎÁÔØ ÍÏÄÅÌØ 'SSfol'"
msgid "too few distinct input values to fit a four-parameter logistic"
msgstr ""
"ÓÌÉÛËÏÍ ÍÁÌÏ ÒÁÚÌÉÞÁÀÝÉÈÓÑ ×ÈÏÄÎÙÈ ÚÎÁÞÅÎÉÊ ÄÌÑ ÐÏÄÇÏÎËÉ ÌÏÇÉÓÔÉÞÅÓËÏÊ "
"ÍÏÄÅÌÉ Ó 4 ÐÁÒÁÍÅÔÒÁÍÉ"
msgid "too few distinct input values to fit a logistic model"
msgstr ""
"ÓÌÉÛËÏÍ ÍÁÌÏ ÒÁÚÌÉÞÁÀÝÉÈÓÑ ×ÈÏÄÎÙÈ ÚÎÁÞÅÎÉÊ ÄÌÑ ÐÏÄÇÏÎËÉ ÌÏÇÉÓÔÉÞÅÓËÏÊ ÍÏÄÅÌÉ"
msgid "too few distinct input values to fit a Michaelis-Menten model"
msgstr ""
"ÓÌÉÛËÏÍ ÍÁÌÏ ÒÁÚÌÉÞÁÀÝÉÈÓÑ ×ÈÏÄÎÙÈ ÚÎÁÞÅÎÉÊ ÄÌÑ ÐÏÄÇÏÎËÉ ÍÏÄÅÌÉ Michaelis-"
"Menten"
msgid "too few distinct input values to fit the Gompertz model"
msgstr ""
"ÓÌÉÛËÏÍ ÍÁÌÏ ÒÁÚÌÉÞÁÀÝÉÈÓÑ ×ÈÏÄÎÙÈ ÚÎÁÞÅÎÉÊ ÄÌÑ ÐÏÄÇÏÎËÉ ÍÏÄÅÌÉ Gompertz"
msgid "too few distinct input values to fit the Weibull growth model"
msgstr ""
"ÓÌÉÛËÏÍ ÍÁÌÏ ÒÁÚÌÉÞÁÀÝÉÈÓÑ ×ÈÏÄÎÙÈ ÚÎÁÞÅÎÉÊ ÄÌÑ ÐÏÄÇÏÎËÉ ÍÏÄÅÌÉ 'Weibull "
"growth'"
msgid "all 'x' values must be non-negative to fit the Weibull growth model"
msgstr ""
"×ÓÅ ÚÎÁÞÅÎÉÑ 'x' ÄÏÌÖÎÙ ÂÙÔØ ÎÅÏÔÒÉÃÁÔÅÌØÎÙÍÉ, ÞÔÏÂÙ ÐÏÄÏÇÎÁÔØ ÍÏÄÅÌØ "
"'Weibull growth'"
msgid "using the %d/%d row from a combined fit"
msgid_plural "using the %d/%d rows from a combined fit"
msgstr[0] "ÉÓÐÏÌØÚÕÀ %d/%d ÓÔÒÏËÕ ÉÚ ËÏÍÂÉÎÉÒÏ×ÁÎÎÏÇÏ ×ÙÒÁ×ÎÉ×ÁÎÉÑ"
msgstr[1] "ÉÓÐÏÌØÚÕÀ %d/%d ÓÔÒÏËÉ ÉÚ ËÏÍÂÉÎÉÒÏ×ÁÎÎÏÇÏ ×ÙÒÁ×ÎÉ×ÁÎÉÑ"
msgstr[2] "ÉÓÐÏÌØÚÕÀ %d/%d ÓÔÒÏË ÉÚ ËÏÍÂÉÎÉÒÏ×ÁÎÎÏÇÏ ×ÙÒÁ×ÎÉ×ÁÎÉÑ"
msgid "lower scope has term %s not included in model"
msgid_plural "lower scope has terms %s not included in model"
msgstr[0] "ÎÉÖÎÑÑ ÏÂÌÁÓÔØ ÄÅÊÓÔ×ÉÑ ÉÍÅÅÔ ×ÙÒÁÖÅÎÉÅ %s, ÎÅ ×ËÌÀÞÅÎÎÏÅ × ÍÏÄÅÌØ"
msgstr[1] "ÎÉÖÎÑÑ ÏÂÌÁÓÔØ ÄÅÊÓÔ×ÉÑ ÉÍÅÅÔ ×ÙÒÁÖÅÎÉÑ %s, ÎÅ ×ËÌÀÞÅÎÎÙÅ × ÍÏÄÅÌØ"
msgstr[2] "ÎÉÖÎÑÑ ÏÂÌÁÓÔØ ÄÅÊÓÔ×ÉÑ ÉÍÅÅÔ ×ÙÒÁÖÅÎÉÑ %s, ÎÅ ×ËÌÀÞÅÎÎÙÅ × ÍÏÄÅÌØ"
msgid "upper scope has term %s not included in model"
msgid_plural "upper scope has terms %s not included in model"
msgstr[0] "ÎÉÖÎÑÑ ÏÂÌÁÓÔØ ÄÅÊÓÔ×ÉÑ ÉÍÅÅÔ ×ÙÒÁÖÅÎÉÅ %s, ÎÅ ×ËÌÀÞÅÎÎÏÅ × ÍÏÄÅÌØ"
msgstr[1] "ÎÉÖÎÑÑ ÏÂÌÁÓÔØ ÄÅÊÓÔ×ÉÑ ÉÍÅÅÔ ×ÙÒÁÖÅÎÉÑ %s, ÎÅ ×ËÌÀÞÅÎÎÙÅ × ÍÏÄÅÌØ"
msgstr[2] "ÎÉÖÎÑÑ ÏÂÌÁÓÔØ ÄÅÊÓÔ×ÉÑ ÉÍÅÅÔ ×ÙÒÁÖÅÎÉÑ %s, ÎÅ ×ËÌÀÞÅÎÎÙÅ × ÍÏÄÅÌØ"
msgid "there are %d Error terms: only 1 is allowed"
msgid_plural "there are %d Error terms: only 1 is allowed"
msgstr[0] "ÚÄÅÓØ %d ÏÛÉÂÏÞÎÙÈ ×ÙÒÁÖÅÎÉÑ: ÒÁÚÒÅÛÅÎÏ ÌÉÛØ ÏÄÎÏ"
msgstr[1] "ÚÄÅÓØ %d ÏÛÉÂÏÞÎÙÈ ×ÙÒÁÖÅÎÉÑ: ÒÁÚÒÅÛÅÎÏ ÌÉÛØ ÏÄÎÏ"
msgstr[2] "ÚÄÅÓØ %d ÏÛÉÂÏÞÎÙÈ ×ÙÒÁÖÅÎÉÊ: ÒÁÚÒÅÛÅÎÏ ÌÉÛØ ÏÄÎÏ"
msgid "unknown name %s in the 'split' list"
msgid_plural "unknown names %s in the 'split' list"
msgstr[0] "ÎÅÉÚ×ÅÓÔÎÏÅ ÉÍÑ %s × 'split'-ÓÐÉÓËÅ"
msgstr[1] "ÎÅÉÚ×ÅÓÔÎÙÅ ÉÍÅÎÁ %s × 'split'-ÓÐÉÓËÅ"
msgstr[2] "ÎÅÉÚ×ÅÓÔÎÙÅ ÉÍÅÎÁ %s × 'split'-ÓÐÉÓËÅ"
msgid "extra argument %s is not of class \"%s\""
msgid_plural "extra arguments %s are not of class \"%s\"s"
msgstr[0] "ÄÏÐÏÌÎÉÔÅÌØÎÙÊ ÁÒÇÕÍÅÎÔ %s ÎÅ ËÌÁÓÓÁ \"%s\""
msgstr[1] "ÄÏÐÏÌÎÉÔÅÌØÎÙÅ ÁÒÇÕÍÅÎÔÙ %s ÎÅ ËÌÁÓÓÁ \"%s\"s"
msgstr[2] "ÄÏÐÏÌÎÉÔÅÌØÎÙÅ ÁÒÇÕÍÅÎÔÙ %s ÎÅ ËÌÁÓÓÁ \"%s\"s"
msgid "%d factor is too many for %d variables"
msgid_plural "%d factors are too many for %d variables"
msgstr[0] "%d ÆÁËÔÏÒ -- ÜÔÏ ÓÌÉÛËÏÍ ÍÎÏÇÏ ÄÌÑ %d ÐÅÒÅÍÅÎÎÙÈ"
msgstr[1] "%d ÆÁËÔÏÒÏ× ÓÌÉÛËÏÍ ÍÎÏÇÏ ÄÌÑ %d ÐÅÒÅÍÅÎÎÙÈ"
msgstr[2] "%d ÆÁËÔÏÒÏ× ÓÌÉÛËÏÍ ÍÎÏÇÏ ÄÌÑ %d ÐÅÒÅÍÅÎÎÙÈ"
msgid "'start' must have %d row"
msgid_plural "'start' must have %d rows"
msgstr[0] "'start' ÄÏÌÖÅÎ ÉÍÅÔØ %d ÓÔÒÏËÕ"
msgstr[1] "'start' ÄÏÌÖÅÎ ÉÍÅÔØ %d ÓÔÒÏËÉ"
msgstr[2] "'start' ÄÏÌÖÅÎ ÉÍÅÔØ %d ÓÔÒÏË"
msgid "unable to optimize from this starting value"
msgid_plural "unable to optimize from these starting values"
msgstr[0] "ÎÅ ÍÏÇÕ ÏÐÔÉÍÉÚÉÒÏ×ÁÔØ, ÎÁÞÉÎÁÑ Ó ÜÔÏÇÏ ÓÔÁÒÔÏ×ÏÇÏ ÚÎÁÞÅÎÉÑ"
msgstr[1] "ÎÅ ÍÏÇÕ ÏÐÔÉÍÉÚÉÒÏ×ÁÔØ, ÎÁÞÉÎÁÑ Ó ÜÔÉÈ ÓÔÁÒÔÏ×ÙÈ ÚÎÁÞÅÎÉÊ"
msgstr[2] "ÎÅ ÍÏÇÕ ÏÐÔÉÍÉÚÉÒÏ×ÁÔØ, ÎÁÞÉÎÁÑ Ó ÜÔÉÈ ÓÔÁÒÔÏ×ÙÈ ÚÎÁÞÅÎÉÊ"
msgid "'init' must have %d column"
msgid_plural "'init' must have 1 or %d columns"
msgstr[0] "'init' ÄÏÌÖÅÎ ÉÍÅÔØ %d ËÏÌÏÎËÕ"
msgstr[1] "'init' ÄÏÌÖÅÎ ÉÍÅÔØ 1 ÉÌÉ %d ËÏÌÏÎËÉ"
msgstr[2] "'init' ÄÏÌÖÅÎ ÉÍÅÔØ ÏÄÎÕ ÉÌÉ %d ËÏÌÏÎÏË"
msgid "X matrix has rank %d, but only %d observation"
msgid_plural "X matrix has rank %d, but only %d observations"
msgstr[0] "ÍÁÔÒÉÃÁ X ÉÍÅÅÔ ÒÁÎÇ %d, ÎÏ ÔÏÌØËÏ %d ÎÁÂÌÀÄÅÎÉÅ"
msgstr[1] "ÍÁÔÒÉÃÁ X ÉÍÅÅÔ ÒÁÎÇ %d, ÎÏ ÔÏÌØËÏ %d ÎÁÂÌÀÄÅÎÉÑ"
msgstr[2] "ÍÁÔÒÉÃÁ X ÉÍÅÅÔ ÒÁÎÇ %d, ÎÏ ÔÏÌØËÏ %d ÎÁÂÌÀÄÅÎÉÊ"
msgid "did not converge in %d iteration"
msgid_plural "did not converge in %d iterations"
msgstr[0] "ÎÅ ÓÏÛÌÏÓØ ÚÁ %d ÉÔÅÒÁÃÉÀ"
msgstr[1] "ÎÅ ÓÏÛÌÏÓØ ÚÁ %d ÉÔÅÒÁÃÉÉ"
msgstr[2] "ÎÅ ÓÏÛÌÏÓØ ÚÁ %d ÉÔÅÒÁÃÉÊ"
msgid "%d missing value deleted"
msgid_plural "%d missing values deleted"
msgstr[0] "%d ÐÒÏÐÕÝÅÎÎÏÅ ÚÎÁÞÅÎÉÅ ÕÄÁÌÅÎÏ"
msgstr[1] "%d ÐÒÏÐÕÝÅÎÎÙÈ ÚÎÁÞÅÎÉÑ ÕÄÁÌÅÎÏ"
msgstr[2] "%d ÐÒÏÐÕÝÅÎÎÙÈ ÚÎÁÞÅÎÉÊ ÕÄÁÌÅÎÏ"
msgid "'X' matrix has %d case (row)"
msgid_plural "'X' matrix has %d cases (rows)"
msgstr[0] "'X'-ÍÁÔÒÉÃÁ ÉÍÅÅÔ %d ÏÔËÌÉË (ÓÔÒÏËÕ)"
msgstr[1] "'X'-ÍÁÔÒÉÃÁ ÉÍÅÅÔ %d ÏÔËÌÉËÁ (ÓÔÒÏËÉ)"
msgstr[2] "'X'-ÍÁÔÒÉÃÁ ÉÍÅÅÔ %d ÏÔËÌÉËÏ× (ÓÔÒÏË)"
msgid "'Y' has %d case (row)"
msgid_plural "'Y' has %d cases (rows)"
msgstr[0] "'Y' ×ÙÚ×ÁÌ %d ÏÔËÌÉË (ÓÔÒÏËÕ)"
msgstr[1] "'Y' ×ÙÚ×ÁÌ %d ÏÔËÌÉËÁ (ÓÔÒÏËÉ)"
msgstr[2] "'Y' ×ÙÚ×ÁÌ %d ÏÔËÌÉËÏ× (ÓÔÒÏË)"
msgid "only %d case"
msgid_plural "only %d cases"
msgstr[0] "ÎÏ ÔÏÌØËÏ %d ÓÌÕÞÁÊ"
msgstr[1] "ÎÏ ÔÏÌØËÏ %d ÓÌÕÞÁÑ"
msgstr[2] "ÎÏ ÔÏÌØËÏ %d ÓÌÕÞÁÅ×"
msgid "but %d variable"
msgid_plural "but %d variables"
msgstr[0] "ÎÏ ÔÏÌØËÏ %d ÐÅÒÅÍÅÎÎÕÀ"
msgstr[1] "ÎÏ ÔÏÌØËÏ %d ÐÅÒÅÍÅÎÎÙÈ"
msgstr[2] "ÎÏ ÔÏÌØËÏ %d ÐÅÒÅÍÅÎÎÙÈ"
msgid "medpolish() did not converge in %d iteration"
msgid_plural "medpolish() did not converge in %d iterations"
msgstr[0] "medpolish() ÎÅ ÓÏÛÅÌÓÑ × %d ÉÔÅÒÁÃÉÀ"
msgstr[1] "medpolish() ÎÅ ÓÏÛÅÌÓÑ × %d ÉÔÅÒÁÃÉÉ"
msgstr[2] "medpolish() ÎÅ ÓÏÛÅÌÓÑ × %d ÉÔÅÒÁÃÉÊ"
msgid "'newdata' had %d row"
msgid_plural "'newdata' had %d rows"
msgstr[0] "'start' ÄÏÌÖÅÎ ÉÍÅÔØ %d ÓÔÒÏË"
msgstr[1] "'newdata' ÄÏÌÖÎÁ ÉÍÅÔØ %d ÓÔÒÏËÉ"
msgstr[2] "'newdata' ÄÏÌÖÎÁ ÉÍÅÔØ %d ÓÔÒÏË"
msgid "but variable found had %d row"
msgid_plural "but variables found have %d rows"
msgstr[0] "ÎÏ ÎÁÊÄÅÎÎÁÑ ÐÅÒÅÍÅÎÎÁÑ ÉÍÅÅÔ %d ÓÔÒÏËÕ"
msgstr[1] "ÎÏ ÎÁÊÄÅÎÎÁÑ ÐÅÒÅÍÅÎÎÁÑ ÉÍÅÅÔ %d ÓÔÒÏËÉ"
msgstr[2] "ÎÏ ÎÁÊÄÅÎÎÁÑ ÐÅÒÅÍÅÎÎÁÑ ÉÍÅÅÔ %d ÓÔÒÏË"
msgid "factor %s has new level %s"
msgid_plural "factor %s has new levels %s"
msgstr[0] "Õ ÆÁËÔÏÒÁ %s ÅÓÔØ ÎÏ×ÙÊ ÕÒÏ×ÅÎØ %s"
msgstr[1] "Õ ÆÁËÔÏÒÁ %s ÅÓÔØ ÎÏ×ÙÅ ÕÒÏ×ÎÉ %s"
msgstr[2] "Õ ÆÁËÔÏÒÁ %s ÅÓÔØ ÎÏ×ÙÅ ÕÒÏ×ÎÉ %s"
msgid "%d observation deleted due to missingness"
msgid_plural "%d observations deleted due to missingness"
msgstr[0] "%d ÐÒÏÐÕÝÅÎÎÏÅ ÎÁÂÌÀÄÅÎÉÅ ÕÄÁÌÅÎÏ"
msgstr[1] "%d ÐÒÏÐÕÝÅÎÎÙÈ ÎÁÂÌÀÄÅÎÉÊ ÕÄÁÌÅÎÙ"
msgstr[2] "%d ÐÒÏÐÕÝÅÎÎÙÈ ÎÁÂÌÀÄÅÎÉÊ ÕÄÁÌÅÎÙ"
msgid "_NOT_ converged in %d iteration"
msgid_plural "_NOT_ converged in %d iterations"
msgstr[0] "_îå_ ÓÏÛÌÏÓØ ÚÁ %d ÉÔÅÒÁÃÉÀ"
msgstr[1] "_îå_ ÓÏÛÌÏÓØ ÚÁ %d ÉÔÅÒÁÃÉÉ"
msgstr[2] "_îå_ ÓÏÛÌÏÓØ ÚÁ %d ÉÔÅÒÁÃÉÊ"
msgid "unrecognized control element named %s ignored"
msgid_plural "unrecognized control elements named %s ignored"
msgstr[0] "ÎÅÒÁÓÐÏÚÎÁÎÎÙÊ ËÏÎÔÒÏÌØÎÙÊ ÜÌÅÍÅÎÔ Ó ÉÍÅÎÅÍ %s ÐÒÏÐÕÝÅÎ"
msgstr[1] "ÎÅÒÁÓÐÏÚÎÁÎÎÙÅ ËÏÎÔÒÏÌØÎÙÅ ÜÌÅÍÅÎÔÙ Ó ÉÍÅÎÁÍÉ %s ÐÒÏÐÕÝÅÎÙ"
msgstr[2] "ÎÅÒÁÓÐÏÚÎÁÎÎÙÅ ËÏÎÔÒÏÌØÎÙÅ ÜÌÅÍÅÎÔÙ Ó ÉÍÅÎÁÍÉ %s ÐÒÏÐÕÝÅÎÙ"
msgid "fitting parameter %s without any variables"
msgid_plural "fitting parameters %s without any variables"
msgstr[0] "ÐÏÄÇÏÎËÁ ÐÁÒÁÍÅÔÒÁ %s ÂÅÚÏ ×ÓÑËÉÈ ÐÅÒÅÍÅÎÎÙÈ"
msgstr[1] "ÐÏÄÇÏÎËÁ ÐÁÒÁÍÅÔÒÏ× %s ÂÅÚÏ ×ÓÑËÉÈ ÐÅÒÅÍÅÎÎÙÈ"
msgstr[2] "ÐÏÄÇÏÎËÁ ÐÁÒÁÍÅÔÒÏ× %s ÂÅÚÏ ×ÓÑËÉÈ ÐÅÒÅÍÅÎÎÙÈ"
msgid "parameter %s does not occur in the model formula"
msgid_plural "parameters %s do not occur in the model formula"
msgstr[0] "ÐÁÒÁÍÅÔÒ %s ÎÅ ×ÓÔÒÅÞÁÅÔÓÑ × ÆÏÒÍÕÌÅ ÍÏÄÅÌÉ"
msgstr[1] "ÐÁÒÁÍÅÔÒÙ %s ÎÅ ×ÓÔÒÅÞÁÀÔÓÑ × ÆÏÒÍÕÌÅ ÍÏÄÅÌÉ"
msgstr[2] "ÐÁÒÁÍÅÔÒÙ %s ÎÅ ×ÓÔÒÅÞÁÀÔÓÑ × ÆÏÒÍÕÌÅ ÍÏÄÅÌÉ"
msgid "%d observation with NA, NaN or Inf deleted"
msgid_plural "%d observations with NAs, NaNs and/or Infs deleted"
msgstr[0] "%d ÎÁÂÌÀÄÅÎÉÅ Ó NA, NaN É/ÉÌÉ Inf ÕÄÁÌÅÎÏ"
msgstr[1] "%d ÎÁÂÌÀÄÅÎÉÑ Ó NAs, NaNs É/ÉÌÉ Infs ÕÄÁÌÅÎÙ"
msgstr[2] "%d ÎÁÂÌÀÄÅÎÉÊ Ó NAs, NaNs É/ÉÌÉ Infs ÕÄÁÌÅÎÙ"
msgid "'start.innov' is too short: need %d point"
msgid_plural "'start.innov' is too short: need %d points"
msgstr[0] "'start.innov' ÓÌÉÛËÏÍ ËÏÒÏÔËÉÊ: ÎÕÖÎÏ %d ÔÏÞËÕ"
msgstr[1] "'start.innov' ÓÌÉÛËÏÍ ËÏÒÏÔËÉÊ: ÎÕÖÎÏ %d ÔÏÞËÉ"
msgstr[2] "'start.innov' ÓÌÉÛËÏÍ ËÏÒÏÔËÉÊ: ÎÕÖÎÏ %d ÔÏÞÅË"
#~ msgid ""
#~ "link \"%s\" not available for quasipoisson family; available links are %s"
#~ msgstr ""
#~ "ÆÕÎËÃÉÑ Ó×ÑÚÉ \"%s\" ÎÅÄÏÓÔÕÐÎÁ ÄÌÑ Ë×ÁÚÉ-ÐÕÁÓÓÏÎÏ×ÓËÏÇÏ ÓÅÍÅÊÓÔ×Á; "
#~ "ÄÏÓÔÕÐÎÙ ÆÕÎËÃÉÉ %s"
#~ msgid ""
#~ "link \"%s\" not available for gaussian family; available links are %s"
#~ msgstr ""
#~ "ÆÕÎËÃÉÑ Ó×ÑÚÉ \"%s\" ÎÅÄÏÓÔÕÐÎÁ ÄÌÑ ÇÁÕÓÓÏ×ÏÇÏ ÓÅÍÅÊÓÔ×Á; ÄÏÓÔÕÐÎÙ "
#~ "ÆÕÎËÃÉÉ %s"
#~ msgid ""
#~ "link \"%s\" not available for binomial family; available links are %s"
#~ msgstr ""
#~ "ÆÕÎËÃÉÑ Ó×ÑÚÉ \"%s\" ÎÅÄÏÓÔÕÐÎÁ ÄÌÑ ÂÉÎÏÍÉÁÌØÎÏÇÏ ÓÅÍÅÊÓÔ×Á; ÄÏÓÔÕÐÎÙ "
#~ "ÆÕÎËÃÉÉ %s"
#~ msgid ""
#~ "link \"%s\" not available for quasibinomial family; available links are %s"
#~ msgstr ""
#~ "ÓÓÙÌËÁ \"%s\" ÎÅ ÄÏÓÔÕÐÎÁ ÄÌÑ Ë×ÁÚÉ-ÂÉÎÏÍÉÁÌØÎÏÇÏ ÓÅÍÅÊÓÔ×Á; ÄÏÓÔÕÐÎÙ "
#~ "ÓÓÙÌËÉ %s"
#~ msgid ""
#~ "for the 'quasibinomial' family, y must be a vector of 0 and 1's\n"
#~ "or a 2 column matrix where col 1 is no. successes and col 2 is no. "
#~ "failures"
#~ msgstr ""
#~ "ÄÌÑ ÓÅÍÅÊÓÔ×Á 'quasibinomial', y ÄÏÌÖÅÎ ÂÙÔØ ×ÅËÔÏÒÏÍ ÉÚ ÎÕÌÅÊ É ÅÄÉÎÉÃ\n"
#~ "ÉÌÉ Ä×ÕÈËÏÌÏÎÎÏÊ ÍÁÔÒÉÃÅÊ, ÇÄÅ ËÏÌÏÎËÁ 1 -- ÜÔÏ ËÏÌÉÞÅÓÔ×Ï ÕÓÐÅÈÏ×, Á "
#~ "ËÏÌÏÎËÁ 2 -- ËÏÌÉÞÅÓÔ×Ï ÎÅÕÄÁÞ"
#~ msgid "link \"%s\" not available for gamma family; available links are %s"
#~ msgstr ""
#~ "ÆÕÎËÃÉÑ Ó×ÑÚÉ \"%s\" ÎÅÄÏÓÔÕÐÎÁ ÄÌÑ ÇÁÍÍÁ-ÓÅÍÅÊÓÔ×Á; ÄÏÓÔÕÐÎÙ ÆÕÎËÃÉÉ %s"
#~ msgid ""
#~ "link \"%s\" not available for inverse.gaussian family; available links "
#~ "are %s"
#~ msgstr ""
#~ "ÆÕÎËÃÉÑ Ó×ÑÚÉ \"%s\" ÎÅÄÏÓÔÕÐÎÁ ÄÌÑ ÏÂÒÁÔÎÏ-ÇÁÕÓÓÏ×ÏÇÏ ÓÅÍÅÊÓÔ×Á; "
#~ "ÄÏÓÔÕÐÎÙ ÆÕÎËÃÉÉ %s"
#~ msgid "all group levels must be finite"
#~ msgstr "×ÓÅ ÕÒÏ×ÎÉ ÇÒÕÐÐ ÄÏÌÖÎÙ ÂÙÔØ ËÏÎÅÞÎÙÍÉ"
#~ msgid "iterTrace ="
#~ msgstr "iterTrace ="
#~ msgid "invalid value of length(x)"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÚÎÁÞÅÎÉÅ length(x)"
#~ msgid "a limit is missing"
#~ msgstr "ÐÒÅÄÅÌ ÐÒÏÐÕÝÅÎ"
#~ msgid "'invalid value of 'k'"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÚÎÁÞÅÎÉÅ 'k'"
#~ msgid "'times' is wrong length"
#~ msgstr "'times' ÎÅÐÒÁ×ÉÌØÎÏÊ ÄÌÉÎÙ"
#~ msgid "invalid value of 'k'"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÚÎÁÞÅÎÉÅ 'k'"
#~ msgid "specified both 'df' and 'cv'; will disregard the latter"
#~ msgstr "ÕËÁÚÁÎÏ É 'df' É 'cv'; ÚÎÁÞÅÎÉÅ ÐÏÓÌÅÄÎÅÇÏ ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎÏ"
#~ msgid "non-matched further arguments are disregarded"
#~ msgstr "ÄÁÌØÎÅÊÛÉÅ ÎÅÓÏÏÔ×ÅÔÓÔ×ÕÀÝÉÅ ÁÒÇÕÍÅÎÔÙ ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎÙ"
#~ msgid "extra argument %s will be disregarded"
#~ msgid_plural "extra arguments %s will be disregarded"
#~ msgstr[0] "ÄÏÐÏÌÎÉÔÅÌØÎÙÊ ÁÒÇÕÍÅÎÔ %s ÂÕÄÅÔ ÏÔÂÒÏÛÅÎ"
#~ msgstr[1] "ÄÏÐÏÌÎÉÔÅÌØÎÙÅ ÁÒÇÕÍÅÎÔÙ %s ÂÕÄÕÔ ÏÔÂÒÏÛÅÎÙ"
#~ msgstr[2] "ÄÏÐÏÌÎÉÔÅÌØÎÙÅ ÁÒÇÕÍÅÎÔÙ %s ÂÕÄÕÔ ÏÔÂÒÏÛÅÎÙ"
#~ msgid "'merge' and 'height' do not fit!"
#~ msgstr "'merge' É 'height' ÎÅ ÓÏÏÔ×ÅÔÓÔ×ÕÀÔ!"
#~ msgid "invalid dendrogram"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÄÅÎÄÒÏÇÒÁÍÍÁ"
#~ msgid "'merge' component in dendrogram must be integer"
#~ msgstr "ËÏÍÐÏÎÅÎÔ ÄÅÎÄÒÏÇÒÁÍÍÙ 'merge' ÄÏÌÖÅÎ ÂÙÔØ ÃÅÌÙÍ"
#~ msgid "probabilities cannot be negative nor all 0"
#~ msgstr "×ÅÒÏÑÔÎÏÓÔÉ ÎÅ ÍÏÇÕÔ ÂÙÔØ ÎÉ ÏÔÒÉÃÁÔÅÌØÎÙÍÉ, ÎÉ ×ÓÅ ÒÁ×ÎÙÍÉ ÎÕÌÀ"
#~ msgid "'init' must have 1 or %d columns"
#~ msgstr "'init' ÄÏÌÖÅÎ ÉÍÅÔØ 1 ÉÌÉ %d ËÏÌÏÎÏË"
#~ msgid "'deriv' must be between 0 and 2"
#~ msgstr "'deriv' ÄÏÌÖÎÏ ÂÙÔØ ÍÅÖÄÕ 0 É 2"
#~ msgid "%d response"
#~ msgid_plural "%d responses"
#~ msgstr[0] "%d ÏÔËÌÉË"
#~ msgstr[1] "%d ÏÔËÌÉËÁ"
#~ msgstr[2] "%d ÏÔËÌÉËÏ×"
#~ msgid "character variable '%s' changed to a factor"
#~ msgstr "ÔÅËÓÔÏ×ÁÑ ÐÅÒÅÍÅÎÎÁÑ '%s' ËÏÎ×ÅÒÔÉÒÏ×ÁÎÁ × ÆÁËÔÏÒ"
#~ msgid "variable '%s' converted to a factor"
#~ msgstr "ÐÅÒÅÍÅÎÎÁÑ '%s' ËÏÎ×ÅÒÔÉÒÏ×ÁÎÁ × ÆÁËÔÏÒ"
#~ msgid "Burg's algorithm only implemented for univariate series"
#~ msgstr "ÁÌÇÏÒÉÔÍ âÕÒÇÁ ÒÁÚÒÁÂÏÔÁÎ ÔÏÌØËÏ ÄÌÑ ÏÄÎÏÍÅÒÎÙÈ ÓÅÒÉÊ"
#~ msgid "sample is too sparse to find TD"
#~ msgstr "×ÙÂÏÒËÁ ÓÌÉÛËÏÍ ÒÅÄËÁ, ÞÔÏÂÙ ÎÁÊÔÉ TD"
#~ msgid "sample is too sparse to find alph2"
#~ msgstr "×ÙÂÏÒËÁ ÓÌÉÛËÏÍ ÒÅÄËÁ, ÞÔÏÂÙ ÎÁÊÔÉ alph2"
#~ msgid "Cannot compute exact p-values with ties"
#~ msgstr "åÓÔØ ÓÏ×ÐÁÄÁÀÝÉÅ ÚÎÁÞÅÎÉÑ: ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ÔÏÞÎÙÅ p-ÚÎÁÞÅÎÉÑ"
#~ msgid "we require a dendrogram"
#~ msgstr "ÎÁÍ ÎÕÖÎÁ ÄÅÎÄÒÏÇÒÁÍÍÁ"
#~ msgid "NA's are not allowed in groups or blocks"
#~ msgstr "NA's ÎÅ ÒÁÚÒÅÛÅÎÙ × ÇÒÕÐÐÁÈ ÉÌÉ ÂÌÏËÁÈ"
#~ msgid "y, groups and blocks must have the same length"
#~ msgstr "y, ÇÒÕÐÐÙ É ÂÌÏËÉ ÄÏÌÖÎÙ ÉÍÅÔØ ÏÄÎÕ ÄÌÉÎÕ"
#~ msgid "cannot compute exact p-values with ties"
#~ msgstr ""
#~ "ÎÅ ÍÏÇÕ ÐÏÄÓÞÉÔÁÔØ ÔÏÞÎÙÅ p-values ÐÒÉ ÎÁÌÉÞÉÉ ÐÏ×ÔÏÒÑÀÝÉÈÓÑ ÚÎÁÞÅÎÉÊ"
#~ msgid "family '"
#~ msgstr "ÓÅÍÅÊÓÔ×Ï '"
#~ msgid "need multiple response"
#~ msgstr "ÎÕÖÅÎ ÍÎÏÖÅÓÔ×ÅÎÎÙÊ ÏÔËÌÉË"
#~ msgid "internal error"
#~ msgstr "×ÎÕÔÒÅÎÎÑÑ ÏÛÉÂËÁ"
#~ msgid "'proj' is not implemented for \"mlm\" fits"
#~ msgstr "'proj' ÄÌÑ \"mlm\" ÐÏÄÇÏÎÏË ÎÅ ÒÅÁÌÉÚÏ×ÁÎ"
#~ msgid "upper scope does not include model term(s) %s"
#~ msgstr "×ÅÒÈÎÑÑ ÏÂÌÁÓÔØ ÄÅÊÓÔ×ÉÑ ÎÅ ×ËÌÀÞÁÅÔ ×ÙÒÁÖÅÎÉ(Ñ) ÍÏÄÅÌÉ %s"
#~ msgid "for the binomial family, y must be a vector of 0 and 1's"
#~ msgstr "ÄÌÑ ÂÉÎÏÍÉÁÌØÎÏÇÏ ÓÅÍÅÊÓÔ×Á y ÄÏÌÖÅÎ ÂÙÔØ ×ÅËÔÏÒÏÍ ÉÚ 0 É 1"
#~ msgid "for the quasibinomial family, y must be a vector of 0 and 1's"
#~ msgstr "ÄÌÑ Ë×ÁÚÉ-ÂÉÎÏÍÉÁÌØÎÏÇÏ ÓÅÍÅÊÓÔ×Á, y ÄÏÌÖÅÎ ÂÙÔØ ×ÅËÔÏÒÏÍ ÉÚ 0 É 1"
#~ msgid "using F test with a %s family is inappropriate"
#~ msgstr "ÉÓÐÏÌØÚÏ×ÁÔØ ÔÅÓÔ æÉÛÅÒÁ Ó ÓÅÍÅÊÓÔ×ÏÍ %s ÎÅÐÒÁ×ÉÌØÎÏ"
#~ msgid "did not converge in"
#~ msgstr "ÎÅ ÓÏÛÌÏÓØ ÚÁ"
#~ msgid "iterations"
#~ msgstr "ÉÔÅÒÁÃÉÊ"
#~ msgid "removed because response differs from"
#~ msgstr "ÕÄÁÌÅÎÏ, ÐÏÔÏÍÕ ÞÔÏ ÚÁ×ÉÓÉÍÏÓÔØ ÏÔÌÉÞÁÌÁÓØ ÏÔ"
#~ msgid "model 1"
#~ msgstr "ÍÏÄÅÌØ 1"
#~ msgid "residuals have rank"
#~ msgstr "ÏÓÔÁÔËÉ ÉÍÅÀÔ ÒÁÎÇ"
#~ msgid "<"
#~ msgstr "<"
#~ msgid "_NOT_ converged in"
#~ msgstr "_îå_ ÓÏÛÌÏÓØ ×"
#~ msgid "' ignored"
#~ msgstr "' ÐÒÏÐÕÝÅÎ"
#~ msgid "fitting parameters"
#~ msgstr "ÐÁÒÁÍÅÔÒÙ ÄÌÑ ÐÏÄÇÏÎËÉ"
#~ msgid "use \"Brent\" or optimize() directly"
#~ msgstr "ÉÓÐÏÌØÚÕÊÔÅ \"Brent\" ÉÌÉ optimize() ÐÒÑÍÏ"
#~ msgid "hat values (leverages) are all ="
#~ msgstr "hat-ÚÎÁÞÅÎÉÑ (ÔÒÁÎÓÌÑÃÉÉ) ×ÓÅ ="
#, fuzzy
#~ msgid "invalid length(xout)"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÄÌÉÎÁ ÞÌÅÎÏ×"
#~ msgid "contr*(.., sparse=TRUE) needs package \"Matrix\" correctly installed"
#~ msgstr ""
#~ "contr*(.., sparse=TRUE) ÔÒÅÂÕÅÔ ÐÒÁ×ÉÌØÎÏ ÕÓÔÁÎÏ×ÌÅÎÎÏÇÏ ÐÁËÅÔÁ \"Matrix\""
#~ msgid "this should not happen"
#~ msgstr "ÜÔÏ ÎÅ ÄÏÌÖÎÏ ÓÌÕÞÉÔØÓÑ"
#~ msgid "algorithm did not converge"
#~ msgstr "ÁÌÇÏÒÉÔÍ ÎÅ ÓÈÏÄÉÔÓÑ"
#~ msgid "incorrect specification of 'table' or 'start'"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÕËÁÚÁÎÉÅ 'table' ÉÌÉ 'start'"
#~ msgid "ifault=%d. This should not happen"
#~ msgstr "ifault=%d. üÔÏ ÎÅ ÄÏÌÖÎÏ ÓÌÕÞÉÔØÓÑ"
#~ msgid "insufficient observations"
#~ msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÎÁÂÌÀÄÅÎÉÊ"
#~ msgid "'vec' contains NAs"
#~ msgstr "'vec' ÓÏÄÅÒÖÉÔ NAs"
#~ msgid "'vec' must be sorted non-decreasingly"
#~ msgstr "'vec' ÄÏÌÖÅÎ ÂÙÔØ ÓÏÒÔÉÒÏ×ÁÎ ÎÅ ÐÏ ÕÍÅÎØÛÅÎÉÀ"
#, fuzzy
#~ msgid "invalid length(vec)"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÄÌÉÎÁ ÞÌÅÎÏ×"
#~ msgid "No starting values specified for some parameters."
#~ msgstr "äÌÑ ÎÅËÏÔÏÒÙÈ ÐÁÒÁÍÅÔÒÏ× ÎÅ ÕËÁÚÁÎÙ ÓÔÁÒÔÏ×ÙÅ ÚÎÁÞÅÎÉÑ."
#~ msgid "Initializing"
#~ msgstr "éÎÉÃÉÁÌÉÚÕÀ"
#~ msgid "to '1.'."
#~ msgstr "ÄÏ '1.'."
#~ msgid "Consider specifying 'start' or using a selfStart model"
#~ msgstr "õËÁÖÉÔÅ 'start' ÉÌÉ Ñ ÉÓÐÏÌØÚÕÀ ÍÏÄÅÌØ 'selfStart'"
#~ msgid "wrong number of predictors"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÞÉÓÌÏ ÐÒÅÄÉËÔÏÒÏ×"
#, fuzzy
#~ msgid "invalid value oflength(x)"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÍÅÔÏÄ ËÌÁÓÔÅÒÉÚÁÃÉÉ"
#~ msgid "extra arguments"
#~ msgstr "ÄÏÐÏÌÎÉÔÅÌØÎÙÅ ÁÒÇÕÍÅÎÔÙ"
#~ msgid "are just disregarded."
#~ msgstr "ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎÏ."
#~ msgid "cannot compute correct p-values with ties"
#~ msgstr "ÓÏ×ÐÁÄÁÀÝÉÅ ÚÎÁÞÅÎÉÑ: ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ËÏÒÒÅËÔÎÙÅ p-values"
#~ msgid "'FUN' must always return a scalar"
#~ msgstr "'FUN' ÄÏÌÖÅÎ ×ÓÅÇÄÁ ×ÏÚ×ÒÁÝÁÔØ ÓËÁÌÑÒ"
#~ msgid "model order:"
#~ msgstr "ÐÏÒÑÄÏË ÍÏÄÅÌÉ:"
#~ msgid "singularities in the computation of the projection matrix"
#~ msgstr "ÓÉÎÇÕÌÑÒÎÏÓÔÉ ÐÒÉ ×ÙÞÉÓÌÅÎÉÉ ÍÁÔÒÉÃÙ ÐÒÏÅËÃÉÉ"
#~ msgid "results are only valid up to model order"
#~ msgstr "ÒÅÚÕÌØÔÁÔÙ ÄÅÊÓÔ×ÉÔÅÌØÎÙ ÔÏÌØËÏ ÄÌÑ ÐÏÒÑÄËÁ ÍÏÄÅÌÉ"
#~ msgid "invalid 'method': %s"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'method': %s"
#~ msgid "'newdata' does not contain the variables needed"
#~ msgstr "'newdata' ÎÅ ÓÏÄÅÒÖÉÔ ÎÕÖÎÙÈ ÐÅÒÅÍÅÎÎÙÈ"
#~ msgid "diagonal has non-finite entries"
#~ msgstr "ÄÉÁÇÏÎÁÌØ ÉÍÅÅÔ ÎÅ-ËÏÎÅÞÎÙÅ ÜÌÅÍÅÎÔÙ"
#~ msgid "no 'time' or 'id' specified"
#~ msgstr "ÎÅ ÕËÁÚÁÎ ÎÉ 'time', ÎÉ 'id'"
#~ msgid "trying +"
#~ msgstr "ÐÒÏÂÕÀ +"
#~ msgid "trying -"
#~ msgstr "ÐÒÏÂÕÀ -"
#~ msgid "Start: AIC="
#~ msgstr "óÔÁÒÔ: AIC="
#~ msgid "Step: AIC="
#~ msgstr "óÔÕÐÅÎØ: AIC="
#~ msgid "contrasts not defined for 0 degrees of freedom"
#~ msgstr "ËÏÎÔÒÁÓÔÙ ÄÌÑ 0 ÓÔÅÐÅÎÅÊ Ó×ÏÂÏÄÙ ÎÅ ÏÐÒÅÄÅÌÅÎÙ"
#~ msgid "Convergence failure:"
#~ msgstr "ïÛÉÂËÁ ÓÈÏÖÄÅÎÉÑ:"