The R Project SVN R

# 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 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: 2010-08-30 08:39\n"
"PO-Revision-Date: 2010-04-09 19:52-0500\n"
"Last-Translator: Alexey Shipunov <dactylorhiza@gmail.com>\n"
"Language-Team: Russian\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=KOI8-R\n"
"Content-Transfer-Encoding: 8bit\n"
"X-Poedit-Language: Russian\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"

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×ÎÅÊ ('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 3 ÐÅÒÉÏÄÁ, ÞÔÏÂÙ ×ÙÞÉÓÌÉÔØ ÓÔÁÒÔÏ×ÙÅ ÚÎÁÞÅÎÉÑ ÓÅÚÏÎÁ."

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 for BSM"
msgstr "ÞÁÓÔÏÔÁ ÄÌÑ BSM ÄÏÌÖÎÁ ÂÙÔØ ÐÏÌÏÖÉÔÅÌØÎÙÍ ÃÅÌÙÍ"

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="
msgstr "×ÏÚÍÏÖÎÏ, ÐÒÏÂÌÅÍÁ ÓÈÏÄÉÍÏÓÔÉ: 'optim' ×ÙÄÁÌ ËÏÄ="

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 "'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 "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 "using the %d/%d rows from a combined fit"
msgstr "ÉÓÐÏÌØÚÕÀ %d/%d ÓÔÒÏË ÉÚ ËÏÍÂÉÎÉÒÏ×ÁÎÎÏÇÏ ×ÙÒÁ×ÎÉ×ÁÎÉÑ"

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 "lower scope has term(s) %s not included in model"
msgstr "ÎÉÖÎÑÑ ÏÂÌÁÓÔØ ÄÅÊÓÔ×ÉÑ ÉÍÅÅÔ ×ÙÒÁÖÅÎÉ(Ñ) %s, ÎÅ ×ËÌÀÞÅÎÎÙÅ × ÍÏÄÅÌØ"

msgid "upper scope does not include model term(s) %s"
msgstr "×ÅÒÈÎÑÑ ÏÂÌÁÓÔØ ÄÅÊÓÔ×ÉÑ ÎÅ ×ËÌÀÞÁÅÔ ×ÙÒÁÖÅÎÉ(Ñ) ÍÏÄÅÌÉ %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 "'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 "unknown name(s) in the 'split' list"
msgstr "ÎÅÉÚ×ÅÓÔÎÙÅ ÉÍÅÎÁ(Á) × 'split'-ÓÐÉÓËÅ"

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 "invalid interpolation method"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÍÅÔÏÄ ÉÎÔÅÒÐÏÌÑÃÉÉ"

msgid "collapsing to unique 'x' values"
msgstr "Ó×ÅÒÔÙ×ÁÅÔÓÑ × ÕÎÉËÁÌØÎÙÅ ÚÎÁÞÅÎÉÑ 'x'"

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 "'vec' contains NAs"
msgstr "'vec' ÓÏÄÅÒÖÉÔ NAs"

msgid "'vec' must be sorted non-decreasingly"
msgstr "'vec' ÄÏÌÖÅÎ ÂÙÔØ ÓÏÒÔÉÒÏ×ÁÎ ÎÅ ÐÏ ÕÍÅÎØÛÅÎÉÀ"

msgid "'order.max' must be >= 1"
msgstr "'order.max' ÄÏÌÖÅÎ ÂÙÔØ >= 1"

msgid "'order.max' must be < 'n.used'"
msgstr "'order.max' ÄÏÌÖÅÎ ÂÙÔØ < 'n.used'"

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 "Burg's algorithm only implemented for univariate series"
msgstr "ÁÌÇÏÒÉÔÍ âÕÒÇÁ ÒÁÚÒÁÂÏÔÁÎ ÔÏÌØËÏ ÄÌÑ ÏÄÎÏÍÅÒÎÙÈ ÓÅÒÉÊ"

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' 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 "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 "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 "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 "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 "'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 "distances must be result of 'dist' or a square matrix"
msgstr "ÒÁÓÓÔÏÑÎÉÑ ÄÏÌÖÎÙ ÂÙÔØ ÒÅÚÕÌØÔÁÔÏÍ 'dist' ÉÌÉ Ë×ÁÄÒÁÔÎÏÊ ÍÁÔÒÉÃÅÊ"

msgid "'k' must be in {1, 2, ..  n - 1}"
msgstr "'k' ÄÏÌÖÅÎ ÂÙÔØ ÉÚ {1, 2, ..  n - 1}"

msgid "some of the first %d eigenvalues are < 0"
msgstr "ÎÅËÏÔÏÒÙÅ ÉÚ ÐÅÒ×ÙÈ %d ÓÏÂÓÔ×ÅÎÎÙÈ ÚÎÁÞÅÎÉÊ < 0"

#, fuzzy
msgid "initial value is not in the interior of the feasible region"
msgstr "ÎÁÞÁÌØÎÏÅ ÚÎÁÞÅÎÉÅ ÎÅÄÏÐÕÓÔÉÍÏ"

#, fuzzy
msgid "Barrier algorithm ran out of iterations and did not converge"
msgstr "ÁÌÇÏÒÉÔÍ ÎÅ ÓÈÏÄÉÔÓÑ"

msgid "Objective function increased at outer iteration %d"
msgstr ""

msgid "Objective function decreased at outer iteration %d"
msgstr ""

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 "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 "contr*(.., sparse=TRUE) needs package \"Matrix\" correctly installed"
msgstr ""
"contr*(.., sparse=TRUE) 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 "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 "Cannot compute exact p-values with ties"
msgstr "åÓÔØ ÓÏ×ÐÁÄÁÀÝÉÅ ÚÎÁÞÅÎÉÑ: ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ÔÏÞÎÙÅ p-ÚÎÁÞÅÎÉÑ"

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×ÉÌØÎÙÊ 'tree' (ËÏÍÐÏÎÅÎÔ ÓÌÉÑÎÉÑ)"

msgid "either 'k' or 'h' must be specified"
msgstr "ÌÉÂÏ 'k', ÌÉÂÏ 'h' ÎÕÖÎÏ ÕËÁÚÁÔØ"

msgid ""
"the 'height' component of 'tree' is not sorted\n"
"(increasingly); consider applying as.hclust() first"
msgstr ""
"Õ 'tree' ËÏÍÐÏÎÅÎÔ 'height' ÎÅ ÓÏÒÔÉÒÏ×ÁÎ\n"
"(ÐÏ ×ÏÚÒÁÓÔÁÎÉÀ); ÐÏÐÒÏÂÕÊÔÅ ÓÎÁÞÁÌÁ ÉÓÐÏÌØÚÏ×ÁÔØ as.hclust()"

msgid "elements of 'k' must be between 1 and %d"
msgstr "ÜÌÅÍÅÎÔÙ 'k' ÄÏÌÖÎÙ ÂÙÔØ ÍÅÖÄÕ 1 É %d"

msgid "'merge' and 'height' do not fit!"
msgstr "'merge' É 'height' ÎÅ ÓÏÏÔ×ÅÔÓÔ×ÕÀÔ!"

msgid "we require a dendrogram"
msgstr "ÎÁÍ ÎÕÖÎÁ ÄÅÎÄÒÏÇÒÁÍÍÁ"

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 "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 "'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 "non-matched further arguments are disregarded"
msgstr "ÄÁÌØÎÅÊÛÉÅ ÎÅÓÏÏÔ×ÅÔÓÔ×ÕÀÝÉÅ ÁÒÇÕÍÅÎÔÙ ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎÙ"

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' has not 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 "x[] and prob[] must be equal length vectors."
msgstr "x[] É prob[] ÄÏÌÖÎÙ ×ÅËÔÏÒÁÍÉ ÏÄÉÎÁËÏ×ÏÊ ÄÌÉÎÙ."

msgid "probabilities cannot be negative nor all 0."
msgstr "×ÅÒÏÑÔÎÏÓÔÉ ÎÅ ÍÏÇÕÔ ÂÙÔØ ÎÉ ÏÔÒÉÃÁÔÅÌØÎÙÍÉ, ÎÉ ×ÓÅ ÒÁ×ÎÙÍÉ ÎÕÌÀ."

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 "'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 "%d factors is too many for %d variables"
msgstr "%d ÆÁËÔÏÒÏ× ÓÌÉÛËÏÍ ÍÎÏÇÏ ÄÌÑ %d ÐÅÒÅÍÅÎÎÙÈ"

msgid "'start' must have %d rows"
msgstr "'start' ÄÏÌÖÅÎ ÉÍÅÔØ %d ÓÔÒÏË"

msgid "no starting values supplied"
msgstr "ÎÅ ÕËÁÚÁÎÏ ÓÔÁÒÔÏ×ÏÅ ÚÎÁÞÅÎÉÅ"

msgid "unable to optimize from these starting value(s)"
msgstr "ÎÅ ÍÏÇÕ ÏÐÔÉÍÉÚÉÒÏ×ÁÔØ, ÎÁÞÉÎÁÑ Ó ÜÔÉÈ ÓÔÁÒÔÏ×ÙÈ ÚÎÁÞÅÎÉ(Ê)"

msgid "invalid argument 'lambda'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'lambda'"

msgid "link not recognised"
msgstr "ÓÓÙÌËÁ ÎÅ ÒÁÓÐÏÚÎÁÎÁ"

msgid "link \"%s\" not available for poisson 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 ""
"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 "negative values not allowed for the quasiPoisson family"
msgstr "ÏÔÒÉÃÁÔÅÌØÎÙÅ ÚÎÁÞÅÎÉÑ ÄÌÑ Ë×ÁÚÉ-ÐÕÁÓÓÏÎÏ×ÓËÏÇÏ ÓÅÍÅÊÓÔ×Á ÎÅ ÒÁÚÒÅÛÅÎÙ"

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 "cannot find valid starting values: please specify some"
msgstr ""
"ÎÅ ÍÏÇÕ ÎÁÊÔÉ ÐÒÁ×ÉÌØÎÏÅ ÓÔÁÒÔÏ×ÏÅ ÚÎÁÞÅÎÉÅ: ÐÏÖÁÌÕÊÓÔÁ, ÕËÁÖÉÔÅ ËÁËÏÅ-ÎÉÂÕÄØ"

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 "y values must be 0 <= y <= 1"
msgstr "ÚÎÁÞÅÎÉÑ y ÄÏÌÖÎÙ ÂÙÔØ 0 <= y <= 1"

msgid "non-integer #successes in a binomial glm!"
msgstr "ÎÅ ÃÅÌÏÞÉÓÌÅÎÎÙÅ #successes × ÂÉÎÏÍÉÁÌØÎÏÍ 'glm'!"

msgid "non-integer counts in a binomial glm!"
msgstr "ÎÅ ÃÅÌÏÞÉÓÌÅÎÎÙÅ ÓÞÅÔÞÉËÉ × ÂÉÎÏÍÉÁÌØÎÏÍ 'glm'!"

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 ""
"or a 2 column matrix where col 1 is no. successes and col 2 is no. failures"
msgstr ""
"ÉÌÉ 2-ËÏÌÏÎÎÁÑ ÍÁÔÒÉÃÁ ÇÄÅ ËÏÌÏÎËÁ 1 -- ÜÔÏ ËÏÌ-×Ï ÕÓÐÅÈÏ×, Á ËÏÌÏÎËÁ 2 -- "
"ËÏÌ-×Ï ÎÅÕÄÁÞ"

msgid "cannot simulate from non-integer prior.weights"
msgstr "ÎÅ ÍÏÇÕ ÐÒÏÍÏÄÅÌÉÒÏ×ÁÔØ ÉÓÈÏÄÑÔ ÉÚ ÎÅÞÉÓÌÏ×ÙÈ prior.weights"

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"
msgstr "ÄÌÑ Ë×ÁÚÉ-ÂÉÎÏÍÉÁÌØÎÏÇÏ ÓÅÍÅÊÓÔ×Á, y ÄÏÌÖÅÎ ÂÙÔØ ×ÅËÔÏÒÏÍ ÉÚ 0 É 1"

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 "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 ""
"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 "positive values only allowed for the inverse.gaussian family"
msgstr ""
"ÔÏÌØËÏ ÐÏÌÏÖÉÔÅÌØÎÙÅ ÚÎÁÞÅÎÉÑ ÒÁÚÒÅÛÅÎÙ ÄÌÑ ÏÂÒÁÔÎÏ-ÇÁÕÓÓÏ×ÏÇÏ ÓÅÍÅÊÓÔ×Á"

msgid "Need CRAN package 'SuppDists' for 'inverse.gaussian' family"
msgstr "îÅÏÂÈÏÄÉÍ ÐÁËÅÔ 'SuppDists' ÉÚ CRAN ÄÌÑ ÓÅÍÅÊÓÔ×Á 'inverse.gaussian'"

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 "length of 'init' must equal length of 'filter'"
msgstr "ÄÌÉÎÁ 'init' ÄÏÌÖÎÁ ÒÁ×ÎÑÔØÓÑ ÄÌÉÎÅ 'filter'"

msgid "'init'; must have 1 or %d cols"
msgstr "'init' ÄÏÌÖÅÎ ÉÍÅÔØ 1 ÉÌÉ %d ËÏÌÏÎÏË"

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:"
msgstr "'x' ÂÙÌ ÏËÒÕÇÌÅÎ ÄÏ ÃÅÌÏÇÏ:"

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 "'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 "all group levels must be finite"
msgstr "×ÓÅ ÕÒÏ×ÎÉ ÇÒÕÐÐ ÄÏÌÖÎÙ ÂÙÔØ ËÏÎÅÞÎÙÍÉ"

msgid "not enough observations"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÎÁÂÌÀÄÅÎÉÊ"

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 "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 side"
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 "'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 "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"
msgstr "ÎÅÔ ÎÁÂÌÀÄÅÎÉÊ, ÉÎÆÏÒÍÁÔÉ×ÎÙÈ ÄÌÑ ÉÔÅÒÁÃÉÉ"

msgid "non-finite coefficients at iteration %d"
msgstr "ÎÅ-ËÏÎÅÞÎÙÅ ËÏÜÆÆÉÃÉÅÎÔÙ × ÉÔÅÒÁÃÉÉ %d"

msgid "X matrix has rank %d, but only %d observations"
msgstr "ÍÁÔÒÉÃÁ X ÉÍÅÅÔ ÒÁÎÇ %d, ÎÏ ÔÏÌØËÏ %d ÎÁÂÌÀÄÅÎÉÊ"

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"
msgstr "ÍÏÄÅÌÉ Ó ÏÔËÌÉËÏÍ"

msgid "removed because response differs from model 1"
msgstr "ÕÄÁÌÅÎÏ, 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 "using F test with a '%s' family is inappropriate"
msgstr "ÉÓÐÏÌØÚÏ×ÁÔØ ÔÅÓÔ æÉÛÅÒÁ Ó ÓÅÍÅÊÓÔ×ÏÍ '%s' ÎÅÐÒÁ×ÉÌØÎÏ"

msgid "observations with zero weight not used for calculating dispersion"
msgstr "ÎÁÂÌÀÄÅÎÉÑ Ó ÎÕÌÅ×ÙÍ ×ÅÓÏÍ ÎÅ ÉÓÐÏÌØÚÏ×ÁÌÉÓØ ÐÒÉ ×ÙÞÉÓÌÅÎÉÉ ÄÉÓÐÅÒÓÉÉ"

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 "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 "invalid dendrogram"
msgstr "ÎÅÐÒÁ×ÉÌØÎÁÑ ÄÅÎÄÒÏÇÒÁÍÍÁ"

msgid "'merge' component in dendrogram must be integer"
msgstr "ËÏÍÐÏÎÅÎÔ ÄÅÎÄÒÏÇÒÁÍÍÙ 'merge' ÄÏÌÖÅÎ ÂÙÔØ ÃÅÌÙÍ"

msgid "argument 'x' cannot be coerced to class \"hclust\""
msgstr "ÁÒÇÕÍÅÎÔ 'x' ÎÅ ÍÏÖÅÔ ÂÙÔØ ËÏÎ×ÅÒÔÉÒÏ×ÁÎ × ËÌÁÓÓ \"hclust\""

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 missing"
msgstr "ÐÒÅÄÅÌ ÐÒÏÐÕÝÅÎ"

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 "did not converge in %d iterations"
msgstr "ÎÅ ÓÏÛÌÏÓØ ÚÁ %d ÉÔÅÒÁÃÉÊ"

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 "did not converge in"
msgstr "ÎÅ ÓÏÛÌÏÓØ ÚÁ"

msgid "iterations"
msgstr "ÉÔÅÒÁÃÉÊ"

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 "not enough 'x' data"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÄÁÎÎÙÈ 'x'"

msgid "not enough 'y' data"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÄÁÎÎÙÈ 'y'"

msgid "cannot compute correct p-values with ties"
msgstr "ÓÏ×ÐÁÄÁÀÝÉÅ ÚÎÁÞÅÎÉÑ: ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ËÏÒÒÅËÔÎÙÅ p-values"

msgid "'y' must be numeric or a string naming a valid function"
msgstr "'y' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏ×ÙÍ ÉÌÉ ÓÔÒÏËÏÊ Ó ÎÁÚ×ÁÎÉÅÍ ÐÒÁ×ÉÌØÎÏÊ ÆÕÎËÃÉÉ"

#, fuzzy
msgid ""
"numeric y must be supplied.\n"
"For density estimation use density()"
msgstr ""
"ÕËÁÖÉÔÅ y.\n"
"äÌÑ ÏÃÅÎËÉ ÐÌÏÔÎÏÓÔÉ ÉÓÐÏÌØÚÕÊÔÅ 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 "extra arguments"
msgstr "ÄÏÐÏÌÎÉÔÅÌØÎÙÅ ÁÒÇÕÍÅÎÔÙ"

msgid "are just disregarded."
msgstr "ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎÏ."

msgid "singular fit encountered"
msgstr "ÏÂÎÁÒÕÖÅÎÏ ÓÉÎÇÕÌÑÒÎÏÅ ÓÇÌÁÖÉ×ÁÎÉÅ"

msgid "missing or negative weights not allowed"
msgstr "ÐÒÏÐÕÝÅÎÎÙÅ ÉÌÉ ÏÔÒÉÃÁÔÅÌØÎÙÅ ×ÅÓÁ ÎÅ ÒÁÚÒÅÛÅÎÙ"

msgid "invalid 'lm' object:  no 'terms' nor 'qr' component"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'lm'-ÏÂßÅËÔ:  ÎÅÔ ÎÉ 'terms', ÎÉ ËÏÍÐÏÎÅÎÔÁ 'qr'"

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 "family '"
msgstr "ÓÅÍÅÊÓÔ×Ï '"

msgid "' not implemented"
msgstr "' ÎÅ ÒÅÁÌÉÚÏ×ÁÎÏ"

msgid "ANOVA F-tests on an essentially perfect fit are unreliable"
msgstr "ÐÒÉÍÅÎÅÎÉÅ F-ËÒÉÔÅÒÉÑ ÄÌÑ × ÃÅÌÏÍ ÈÏÒÏÛÅÊ ÐÏÄÇÏÎËÉ ÂÅÓÓÍÙÓÌÅÎÎÏ"

msgid "removed because response differs from"
msgstr "ÕÄÁÌÅÎÏ, ÐÏÔÏÍÕ ÞÔÏ ÚÁ×ÉÓÉÍÏÓÔØ ÏÔÌÉÞÁÌÁÓØ ÏÔ"

msgid "model 1"
msgstr "ÍÏÄÅÌØ 1"

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 "non-NA residual length does not match cases used in fitting"
msgstr ""
"ÎÅ-NA ÏÓÔÁÔÏÞÎÁÑ ÄÌÉÎÁ ÎÅ ÓÏÏÔ×ÅÔÓÔ×ÕÅÔ ÓÌÕÞÁÑÍ, ÉÓÐÏÌØÚÏ×ÁÎÎÙÍ × ÐÏÄÇÏÎËÅ"

msgid "too few cases, 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 "only 1-4 predictors are allowed"
msgstr "ÒÁÚÒÅÛÅÎÙ ÔÏÌØËÏ 1-4 ÐÒÅÄÉËÔÏÒÁ"

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 "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 "'start' and 'table' must be same length"
msgstr "'start' É 'table' ÄÏÌÖÎÙ ÂÙÔØ ÏÄÎÏÊ ÄÌÉÎÙ"

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 "%d missing values deleted"
msgstr "%d ÐÒÏÐÕÝÅÎÎÙÈ ÚÎÁÞÅÎÉÊ ÕÄÁÌÅÎÏ"

msgid "'X' matrix has %d responses, 'Y' has %d responses"
msgstr "'X'-ÍÁÔÒÉÃÁ ÉÍÅÅÔ %d ÏÔËÌÉËÏ×, Á 'Y' -- %d ÏÔËÌÉËÏ×"

msgid "%d responses, but only %d variables"
msgstr "%d ÏÔËÌÉËÏ×, ÎÏ ÔÏÌØËÏ %d ÐÅÒÅÍÅÎÎÙÈ"

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 response"
msgstr "ÎÕÖÅÎ ÍÎÏÖÅÓÔ×ÅÎÎÙÊ ÏÔËÌÉË"

msgid "object must be of class \"manova\" or \"maov\""
msgstr "ÏÂßÅËÔ ÄÏÌÖÅÎ ÂÙÔØ ËÌÁÓÓÁ \"manova\" ÉÌÉ \"maov\""

msgid "need multiple responses"
msgstr "ÎÕÖÎÙ ÍÎÏÖÅÓÔ×ÅÎÎÙÅ ÏÔËÌÉËÉ"

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 "medpolish() did not converge in %d iterations"
msgstr "medpolish() ÎÅ ÓÏÛÅÌÓÑ × %d ÉÔÅÒÁÃÉÊ"

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"
msgstr "ÏÓÔÁÔËÉ ÉÍÅÀÔ ÒÁÎÇ"

msgid "<"
msgstr "<"

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:"
msgstr "ÎÅ-ÆÁËÔÏÒÙ ÐÒÏÉÇÎÏÒÉÒÏ×ÁÎÙ:"

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"

msgid "no terms component"
msgstr "ÎÅÔ ËÏÍÐÏÎÅÎÔÁ ×ÙÒÁÖÅÎÉÊ"

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 "'termobj' must be a object of class \"terms\""
msgstr "'termobj' ÄÏÌÖÅÎ ÂÙÔØ ÏÂßÅËÔÏÍ ËÌÁÓÓÁ \"terms\""

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 "'newdata' had %d rows but variable(s) found have %d rows"
msgstr "'newdata' ÉÍÅÅÔ %d ÓÔÒÏË, Á ÐÅÒÅÍÅÎÎÁÑ(ÙÅ) ÎÁÛÌÉ %d ÓÔÒÏË"

msgid "character variable '%s' changed to a factor"
msgstr "ÔÅËÓÔÏ×ÁÑ ÐÅÒÅÍÅÎÎÁÑ '%s' ËÏÎ×ÅÒÔÉÒÏ×ÁÎÁ × ÆÁËÔÏÒ"

msgid "variable '%s' is not a factor"
msgstr "ÐÅÒÅÍÅÎÎÁÑ '%s' -- ÎÅ ÆÁËÔÏÒ"

msgid "factor '%s' has new level(s) %s"
msgstr "Õ ÆÁËÔÏÒÁ '%s' ÅÓÔØ ÎÏ×ÙÅ ÕÒÏ×Î(É) %s"

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()"

msgid "variable '%s' converted to a factor"
msgstr "ÐÅÒÅÍÅÎÎÁÑ '%s' ËÏÎ×ÅÒÔÉÒÏ×ÁÎÁ × ÆÁËÔÏÒ"

msgid "invalid 'contrasts.arg' argument"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ ÁÒÇÕÍÅÎÔ 'contrasts.arg'"

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 "f() values at end points not of opposite sign"
msgstr "f() ÚÎÁÞÅÎÉÊ ÎÁ ËÏÎÃÅ×ÙÈ ÔÏÞËÁÈ ÎÅ ÐÒÏÔÉ×ÏÐÏÌÏÖÎÏÇÏ ÚÎÁËÁ"

msgid "_NOT_ converged in"
msgstr "_îå_ ÓÏÛÌÏÓØ ×"

msgid "control argument must be a named list"
msgstr "ÁÒÇÕÍÅÎÔ 'control' ÄÏÌÖÅÎ ÂÙÔØ ÉÍÅÎÏ×ÁÎÎÙÍ ÓÐÉÓËÏÍ"

msgid "unrecognized control element(s) named `"
msgstr "ÎÅÒÁÓÐÏÚÎÁÎÎÙÊ ËÏÎÔÒÏÌØÎÙÊ ÜÌÅÍÅÎÔ(Ù) Ó ÉÍÅÎÅÍ `"

msgid "' ignored"
msgstr "' ÐÒÏÐÕÝÅÎ"

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 "No starting values specified for some parameters."
msgstr "äÌÑ ÎÅËÏÔÏÒÙÈ ÐÁÒÁÍÅÔÒÏ× ÎÅ ÕËÁÚÁÎÙ ÓÔÁÒÔÏ×ÙÅ ÚÎÁÞÅÎÉÑ."

msgid "Intializing"
msgstr "éÎÉÃÉÁÌÉÚÁÃÉÑ"

msgid "to '1.'."
msgstr "ÄÏ '1.'."

msgid "Consider specifying 'start' or using a selfStart model"
msgstr "õËÁÖÉÔÅ 'start' ÉÌÉ Ñ ÉÓÐÏÌØÚÕÀ ÍÏÄÅÌØ 'selfStart'"

msgid "parameters without starting value in 'data':"
msgstr "ÐÁÒÁÍÅÔÒÙ ÂÅÚ ÓÔÁÒÔÏ×ÏÇÏ ÚÎÁÞÅÎÉÑ × 'data':"

msgid "fitting parameters"
msgstr "ÐÁÒÁÍÅÔÒÙ ÄÌÑ ÐÏÄÇÏÎËÉ"

msgid "without any variables"
msgstr "ÂÅÚÏ ×ÓÑËÉÈ ÐÅÒÅÍÅÎÎÙÈ"

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 or lower bounds ignored unless algorithm = \"port\""
msgstr "÷ÅÒÈÎÉÅ É ÎÉÖÎÉÅ ÇÒÁÎÉÃÙ ÉÇÎÏÒÉÒÕÀÔÓÑ, ÐÏËÁ ÁÌÇÏÒÉÔÍ ÎÅ = \"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"
msgstr "ÇÒÁÎÉÃÙ ÍÏÖÎÏ ÉÓÐÏÌØÚÏ×ÁÔØ ÔÏÌØËÏ × ÍÅÔÏÄÅ L-BFGS-B"

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-diml optimization by Nelder-Mead is unreliable: use optimize"
msgstr ""
"ÏÄÎÏÍÅÒÎÁÑ ÏÐÔÉÍÉÚÁÃÉÑ ÍÅÔÏÄÏÍ îÅÌÄÅÒÁ-íÉÄÁ ÎÅÎÁÄÅÖÎÁ: ÉÓÐÏÌØÚÕÊÔÅ 'optimize'"

msgid "Pooling of SD is incompatible with paired tests"
msgstr "óÏÂÉÒÁÎÉÅ 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:"
msgstr "îÁÂÌÀÄÅÎÉÑ Ó ÅÄÉÎÉÞÎÏÊ ÔÒÁÎÓÌÑÃÉÅÊ ÎÅ ÒÉÓÕÀ:"

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 ="
msgstr "hat-ÚÎÁÞÅÎÉÑ (ÔÒÁÎÓÌÑÃÉÉ) ×ÓÅ ="

msgid "and there are no factor predictors; no plot no. 5"
msgstr "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 "internal error"
msgstr "×ÎÕÔÒÅÎÎÑÑ ÏÛÉÂËÁ"

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"

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 "wrong number of predictors"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ÞÉÓÌÏ ÐÒÅÄÉËÔÏÒÏ×"

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 \"mlm\" fits"
msgstr "'proj' ÄÌÑ \"mlm\" ÐÏÄÇÏÎÏË ÎÅ ÒÅÁÌÉÚÏ×ÁÎ"

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 "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 "'formula' missing"
msgstr "'formula' ÐÒÏÐÕÝÅÎÁ"

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 factors"
msgstr "'relevel' -- ÔÏÌØËÏ ÄÌÑ ÆÁËÔÏÒÏ×"

#, fuzzy
msgid "'ref' must be of length one"
msgstr "'acf' ÄÏÌÖÅÎ ÂÙÔØ ÄÌÉÎÏÊ Ä×Á ÉÌÉ ÂÏÌÅÅ"

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 "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 "'times' is wrong length"
msgstr "'times' ÎÅÐÒÁ×ÉÌØÎÏÊ ÄÌÉÎÙ"

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"
msgstr "'k' ÄÏÌÖÅÎ ÂÙÔØ ÎÅÞÅÔÎÙÍ!  éÚÍÅÎÑÀ 'k' ×"

msgid "'k' is bigger than 'n'!  Changing 'k' to"
msgstr "'k' > 'n'!  éÚÍÅÎÑÀ 'k' ×"

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 "ifault=%d. This should not happen"
msgstr "ifault=%d. üÔÏ ÎÅ ÄÏÌÖÎÏ ÓÌÕÞÉÔØÓÑ"

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 "wrong endrule"
msgstr "ÎÅÐÒÁ×ÉÌØÎÏÅ ËÏÎÅÞÎÏÅ ÐÒÁ×ÉÌÏ"

msgid "'nknots' must be numeric <= n"
msgstr "'nknots' ÄÏÌÖÅÎ ÂÙÔØ ÞÉÓÌÏÍ <= n"

msgid "cannot use more inner knots than unique 'x' values"
msgstr ""
"ÎÅ ÍÏÇÕ ÉÓÐÏÌØÚÏ×ÁÔØ ×ÎÕÔÒÅÎÎÉÈ ÕÚÌÏ× ÂÏÌØÛÅ, ÞÅÍ ÕÎÉËÁÌØÎÙÈ ÚÎÁÞÅÎÉÊ 'x'"

msgid "invalid 'control.spar'"
msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'control.spar'"

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 "need at least four unique 'x' values"
msgstr "ÎÕÖÎÙ ËÁË ÍÉÎÉÍÕÍ 4 ÕÎÉËÁÌØÎÙÈ ÚÎÁÞÅÎÉÑ 'x'"

msgid "crossvalidation with non-unique 'x' values seems doubtful"
msgstr "ËÒÏÓÓ-×ÁÌÉÄÁÃÉÑ Ó ÎÅÕÎÉËÁÌØÎÙÍÉ ÚÎÁÞÅÎÉÑÍÉ 'x' ×ÙÇÌÑÄÉÔ ÓÏÍÎÉÔÅÌØÎÏ"

msgid "you must supply 1 < df <= n,  n = #{unique x} ="
msgstr "÷Ù ÄÏÌÖÎÙ ÕËÁÚÁÔØ 1 < df <= n,  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 "'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 "'span' must be between 0 and 1."
msgstr "'span' ÄÏÌÖÅÎ ÂÙÔØ ÍÅÖÄÕ 0 É 1."

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 "observation(s) with NAs, NaNs and/or Infs deleted"
msgstr "ÎÁÂÌÀÄÅÎÉ(Ñ) Ó NAs, NaNs É/ÉÌÉ Infs ÕÄÁÌÅÎÙ"

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 "'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 "'deriv' must be between 0 and 2"
msgstr "'deriv' ÄÏÌÖÎÏ ÂÙÔØ ÍÅÖÄÕ 0 É 2"

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 "must be 0 or 1"
msgstr "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 "data are essentially constant"
msgstr "ÄÁÎÎÙÅ ÁÂÓÏÌÀÔÎÏ ËÏÎÓÔÁÎÔÎÙ"

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'"

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"

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"

msgid "'frequency' and 'deltat' are both supplied and are inconsistent"
msgstr "'frequency' É 'deltat' ÕËÁÚÁÎÙ ÏÂÁ É ÎÅÓÏ×ÍÅÓÔÉÍÙ"

msgid "Frequency not changed"
msgstr "þÁÓÔÏÔÁ 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 "'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 "'start.innov' is too short: need %d points"
msgstr "'start.innov' ÓÌÉÛËÏÍ ËÏÒÏÔËÉÊ: ÎÕÖÎÏ %d ÔÏÞÅË"

msgid "insufficient observations"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ ÎÁÂÌÀÄÅÎÉÊ"

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"

msgid "not enough (finite) 'x' observations"
msgstr "ÎÅÄÏÓÔÁÔÏÞÎÏ (ËÏÎÅÞÎÙÈ) ÄÁÎÎÙÈ 'x'"

msgid "Requested conf.level not achievable"
msgstr "úÁÄÁÎÎÙÊ ÄÏ×ÅÒÉÔÅÌØÎÙÊ ÉÎÔÅÒ×ÁÌ ÎÅ ÄÏÓÔÉÇÎÕÔ"

#, fuzzy
msgid "cannot compute confidence interval when all observations are tied"
msgstr "ÎÅ ÍÏÇÕ ×ÙÓÞÉÔÁÔØ ÔÏÞÎÙÊ ÄÏ×ÅÒÉÔÅÌØÎÙÊ ÉÎÔÅÒ×ÁÌ ÐÒÉ ÎÁÌÉÞÉÉ ÎÕÌÅÊ"

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 "must supply either 'formula' or 'data'"
msgstr "ÎÕÖÎÏ ÕËÁÚÁÔØ ÌÉÂÏ 'formula', ÌÉÂÏ 'data'"

msgid "xtabs(*, sparse=TRUE) applies only to two-way tables"
msgstr "xtabs(*, sparse=TRUE) ÐÒÉÍÅÎÉÍ ÔÏÌØËÏ Ë Ä×Õ×ÈÏÄÏ×ÙÍ ÔÁÂÌÉÃÁÍ"

msgid "xtabs(*, sparse=TRUE) needs package \"Matrix\" correctly installed"
msgstr ""
"xtabs(*, sparse=TRUE) ÔÒÅÂÕÅÔ ÐÒÁ×ÉÌØÎÏ ÕÓÔÁÎÏ×ÌÅÎÎÏÇÏ ÐÁËÅÔÁ \"Matrix\""

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 "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 "%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 "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 "'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 "invalid 'method'"
#~ msgstr "ÎÅÐÒÁ×ÉÌØÎÙÊ 'method'"

#~ 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:"