# Chinese translations for R package
# Copyright (C) 2005 The R Foundation
# This file is distributed under the same license as the PACKAGE package.
# 陈斐 <feic@avaya.com>, 2006.
# 
msgid ""
msgstr ""
"Project-Id-Version: R 2.2.0\n"
"Report-Msgid-Bugs-To: bugs@r-project.org\n"
"POT-Creation-Date: 2007-01-09 08:55\n"
"PO-Revision-Date: 2005-04-08 08:37+0000\n"
"Last-Translator: 陈斐 <FeiChen@FairIsaac.com>\n"
"Language-Team: Chinese\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"

msgid "empty model supplied"
msgstr "提供的模型是空的"

msgid "'acf' must be of length two or more"
msgstr "'acf'的长度必需是一或二"

msgid "object not interpretable as a factor"
msgstr "不能把目标对象解释成因子"

msgid "cannot fit models without level ('alpha' must not be 0)."
msgstr "无法拟合没有层次的模型('alpha'不能为0) 。"

msgid "'alpha', 'beta' and 'gamma' must be within the unit interval."
msgstr "'alpha', 'beta'和'gamma'必需在单位区间内。"

msgid "data must be strictly non-negative for multiplicative Holt-Winters"
msgstr "乘法Holt-Winters所用的数据不能有负值"

msgid "need at least 3 periods to compute seasonal start values"
msgstr "计算季節性初始值至少需要三个周期的数据"

msgid "time series has no or less than 3 periods"
msgstr "時間序列的周期少于三"

msgid "the series is entirely NA"
msgstr "时间序列里所有的值都是NA"

msgid "frequency must be a positive integer for BSM"
msgstr "用BSM时頻率必需正整数"

msgid "only implemented for univariate time series"
msgstr "只适用于单变量时间序列"

msgid "'x' must be numeric"
msgstr "'x'必需为数值"

msgid "the first value of the time series must not be missing"
msgstr "时间序列的第一个数值不能遺漏"

msgid "all parameters were fixed"
msgstr "所有参数值都是固定的"

msgid "possible convergence problem: optim gave code="
msgstr "可能遇到了收斂问题：optim给了code="

msgid "no factors in the fitted model"
msgstr "拟合模型里没有因子"

msgid "'which' specified no factors"
msgstr "'which'没有指定因子"

msgid "'which' specified some non-factors which will be dropped"
msgstr "'which'内的非因子略过不用"

msgid "'lag.max' must be at least 0"
msgstr "'lag.max'至少必需为0"

msgid "'lag.max' must be at least 1"
msgstr "'lag.max'至少必需为1"

msgid "NAs in 'x'"
msgstr "'x'里不能有NA"

msgid "x$lag must have at least 1 column"
msgstr "x$lag至少需要有1列"

msgid "can use ci.type=\"ma\" only if first lag is 0"
msgstr "只有在第一个滯後为0时才能用ci.type=\"ma\" "

msgid "univariate time series only"
msgstr "只适用于单变量时间序列"

msgid "no terms in scope"
msgstr "範疇里没有项"

msgid "no terms in scope for adding to object"
msgstr "加入目标对象时的範疇内没有项"

msgid "number of rows in use has changed: remove missing values?"
msgstr "行数有变化：是不是删除了遺漏值?"

msgid "using the %d/%d rows from a combined fit"
msgstr "在组合拟合中用%d/%d行"

msgid "F test assumes quasi%s family"
msgstr "F检验假設quasi%s家族"

msgid "no 'add1' method implemented for \"mlm\" models"
msgstr "\"mlm\"模型还没有实现'add1'方法"

msgid "scope is not a subset of term labels"
msgstr "範疇不是项标记集的子集"

msgid "no 'drop1' method for \"mlm\" models"
msgstr "\"mlm\" 模型没有'drop1'方法"

msgid "F test assumes 'quasi%s' family"
msgstr "F检验假設'quasi%s'家族"

msgid "lower scope has term(s) %s not included in model"
msgstr "模型里下範疇没有这些词条%s"

msgid "upper scope does not include model term(s) %s"
msgstr "模型上範疇里没有这些词条%s "

msgid "AIC is not defined for this model, so 'step' cannot proceed"
msgstr "这个模型没有AIC定义，因此不能用'step'这一功能"

msgid "'A' must be an array or table"
msgstr "'A'必需是矩阵或是数据框"

msgid ""
"length of FUN, %d,\n"
" does not match the length of the margins, %d"
msgstr ""
"FUN的长度, %d,\n"
"与边缘的长度, %d不相符"

msgid "'by' must be a list"
msgstr "'by' 必需是串列"

msgid "'FUN' must always return a scalar"
msgstr "'FUN'必需回覆纯量"

msgid "cannot change frequency from %g to %g"
msgstr "无法将頻率从%g改到%g"

msgid "'x' must be coefficient matrix/data frame"
msgstr "'x'必需是係數矩阵/数据框"

msgid "option \"show.coef.Pvalues\" is invalid: assuming TRUE"
msgstr "選項\"show.coef.Pvalues\"不对: 假设成TRUE"

msgid "'P.values' is TRUE, but 'has.Pvalue' is not"
msgstr "'P.values'值是TRUE, 但'has.Pvalue'不是"

msgid "wrong k / cs.ind"
msgstr "k / cs.ind有错"

msgid "option \"show.signif.stars\" is invalid: assuming TRUE"
msgstr "選項\"show.signif.stars\"不对: 假设成TRUE"

msgid "'anova' object must have colnames"
msgstr "'anova'目标对象必需有列名"

msgid "'conf.level' must be a single number between 0 and 1"
msgstr "'conf.level'必需是一个数值在0到1之间的数字"

msgid "not enough 'x' observations"
msgstr "'x'观察值数量不够"

msgid "not enough 'y' observations"
msgstr "'y'观察值数量不够"

msgid "samples differ in location: cannot compute confidence set, returning NA"
msgstr "样本的位置不一样：无法计算置信集, 因此回覆NA"

msgid "cannot compute confidence set, returning NA"
msgstr "无法計算置信集, 回覆NA"

msgid "cannot compute asymptotic confidence set or estimator"
msgstr "无法計算渐近置信集或估计量"

msgid "cannot compute estimate, returning NA"
msgstr "无法計算估计量, 回覆NA"

msgid "cannot compute exact p-value with ties"
msgstr "无法精確計算有连结的p-值"

msgid "cannot compute exact confidence intervals with ties"
msgstr "无法精確計算有连结的置信区间"

msgid "'formula' missing or incorrect"
msgstr "'formula'遺漏或有错"

msgid "grouping factor must have exactly 2 levels"
msgstr "分组因子只能有两层"

msgid "Error() model is singular"
msgstr "Error()模型奇异"

msgid "the 'split' argument must be a list"
msgstr "'split' 变元必需是串列"

msgid "unknown name(s) in the 'split' list"
msgstr "'split'串列里的名字不对"

msgid "'coef' must define a contrast, i.e., sum to 0"
msgstr "'coef'必需设定对比, 如, 总和为0"

msgid "'coef' must have same length as 'contrast.obj'"
msgstr "'coef'的长度必需同'contrast.obj'长度一样"

msgid "each element of '%s' must be logical"
msgstr "'%s'的所有单元都必需是逻辑值"

msgid "the contrast defined is empty (has no TRUE elements)"
msgstr "设定的对比是空的(不含任何TRUE值)"

msgid "columns of 'contrast.obj' must define a contrast (sum to zero)"
msgstr "'contrast.obj'的列必需设定成对比(总和为0)"

msgid "no degrees of freedom for residuals"
msgstr "残差没有自由度"

msgid "'object' does not include an error 'qr' component"
msgstr "'object'不包含误差'qr'组件"

msgid "columns of 'contrast.obj' must define a contrast(sum to zero)"
msgstr "'contrast.obj'的列必需设定对比(总和为0)"

msgid "invalid interpolation method"
msgstr "内插方法不对"

msgid "collapsing to unique 'x' values"
msgstr "折拢'x'成相互不同的值"

msgid "need at least two non-NA values to interpolate"
msgstr "调用内插至少需要两个非NA值的数据"

msgid "zero non-NA points"
msgstr "无非NA数据点"

msgid "'approx' requires n >= 1"
msgstr "'approx'需要n >= 1"

msgid "'vec' contains NAs"
msgstr "'vec'含NA"

msgid "'vec' must be sorted non-decreasingly"
msgstr "'vec'必需由小到大排序"

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

msgid "number of series in 'object' and 'newdata' do not match"
msgstr "'object'和'newdata'里的序列数目不同"

msgid "'se.fit' not yet implemented for multivariate models"
msgstr "'se.fit'没有为多变量的模型实现"

msgid "Burg's algorithm only implemented for univariate series"
msgstr "Burg的算法只为单变量序列实现"

msgid "MLE only implemented for univariate series"
msgstr "MLE只为单变量序列实现"

msgid "'order.max' must be >= 0"
msgstr "'order.max'必需 >= 0"

msgid "model order:"
msgstr "模型顺序:"

msgid "singularities in the computation of the projection matrix"
msgstr "计算投影矩阵时出现了奇异点"

msgid "results are only valid up to model order"
msgstr "计算结果只适用于模型顺序"

msgid "'order' must be a non-negative numeric vector of length 3"
msgstr "'order'必需是长度为三的非负数值向量"

msgid "'seasonal' must be a list with component 'order'"
msgstr "'seasonal'必需是带'order'组件的串列"

msgid "'seasonal$order' must be a non-negative numeric vector of length 3"
msgstr "'seasonal$order'必需是长度为三的非负数值向量"

msgid "lengths of 'x' and 'xreg' do not match"
msgstr "'x'和'xreg'的长度不一样"

msgid "wrong length for 'fixed'"
msgstr "'fixed'长度不对"

msgid "some AR parameters were fixed: setting transform.pars = FALSE"
msgstr "一些AR参数是固定的：把transform.pars设成FALSE"

msgid "too few non-missing observations"
msgstr "非遺漏的观察量数目不够"

msgid "'init' is of the wrong length"
msgstr "'init'长度不对"

msgid "non-stationary AR part"
msgstr "非平穩AR部分"

msgid "non-stationary seasonal AR part"
msgstr "非平穩季節性AR部分"

msgid "non-stationary AR part from CSS"
msgstr "CSS里有非平穩的AR部分"

msgid "non-stationary seasonal AR part from CSS"
msgstr "CSS里有非平穩季節性的AR部分"

msgid "'xreg' and 'newxreg' have different numbers of columns"
msgstr "'xreg'和'newxreg'有不同数目的列"

msgid "MA part of model is not invertible"
msgstr "模型的MA部分非可逆"

msgid "seasonal MA part of model is not invertible"
msgstr "模型季節性的MA部分非可逆"

msgid "converting non-invertible initial MA values"
msgstr "转换非可逆的MA初始值"

msgid "some ARMA parameters were fixed: setting transform.pars = FALSE"
msgstr "一些ARMA参数是固定的：把transform.pars设成FALSE"

msgid "'xreg' is collinear"
msgstr "'xreg'是同線的"

msgid "NAs present: setting 'delta' to -1"
msgstr "有NA：把'delta'设成-1"

msgid "transformed ARMA parameters were fixed"
msgstr "变换过的ARMA参数是固定的"

msgid "need at least 2 data points"
msgstr "至少需要两个数据点"

msgid "invalid 'x'"
msgstr "'x'不对"

msgid "sample is too sparse to find TD"
msgstr "样本太稀疏，找不到TD"

msgid "sample is too sparse to find alph2"
msgstr "样本太稀疏，找不到alph2"

msgid "no solution in the specified range of bandwidths"
msgstr "在设定的頻寬值域内找不到解答"

msgid "minimum occurred at one end of the range"
msgstr "最小值存在于值域的边界上"

msgid "'x' must be a list with at least 2 elements"
msgstr "'x'必需是至少有两个单元的串列"

msgid "'x' and 'g' must have the same length"
msgstr "'x'和'g'的长度必需相同"

msgid "all observations are in the same group"
msgstr "所有的观察量都属于同一个组"

msgid "there must be at least 2 observations in each group"
msgstr "每组至少需要有两个观察量"

msgid "'x' must be nonnegative and integer"
msgstr "'x'必需是非负的整数"

msgid "'n' must be a positive integer >= 'x'"
msgstr "'n'必需是 >= 'x'的正整数"

msgid "incorrect length of 'x'"
msgstr "'x'长度不对"

msgid "'p' must be a single number between 0 and 1"
msgstr "'p'必需是在0到1之间的数值"

msgid "length of choices must be 2"
msgstr "选择长度必需为二"

msgid "object '%s' has no scores"
msgstr "目标对象'%s'没有分数"

msgid "'scale' is outside [0, 1]"
msgstr "'scale'在[0, 1] 值域外"

msgid "biplots are not defined for complex PCA"
msgstr "复数的PCA画不出biplot"

msgid "unequal number of rows in 'cancor'"
msgstr "'cancor'里的行数不一样"

msgid "dimension 0 in 'x' or 'y'"
msgstr "'x'或'y'的维度为0"

msgid "'x' has rank 0"
msgstr "'x'的秩为0"

msgid "'y' has rank 0"
msgstr "'y'的秩为0"

msgid "'x' and 'y' must have the same length"
msgstr "'x'和'y'的长度必需相同"

msgid "'x' and 'y' must have at least 2 levels"
msgstr "'x'和'y'至少有两个层次"

msgid "all entries of 'x' must be nonnegative and finite"
msgstr "'x'的所有值都必需是非负的有限值"

msgid "at least one entry of 'x' must be positive"
msgstr "'x'里至少要包含一个正值"

msgid "cannot compute simulated p-value with zero marginals"
msgstr "无法用0邊緣計算模拟p-值"

msgid "'x' must at least have 2 elements"
msgstr "'x'至少有两个单元"

msgid "'x' and 'p' must have the same number of elements"
msgstr "'x'和'p'必需包含同样数目的单元"

msgid "probabilities must be non-negative."
msgstr "機率必需为非负值。"

msgid "probabilities must sum to 1."
msgstr "機率总和必需为1。"

msgid "Chi-squared approximation may be incorrect"
msgstr "Chi-squared近似算法有可能不准"

msgid "NA values not allowed in 'd'"
msgstr "'d'里不允许有NA值"

msgid "distances must be result of 'dist' or a square matrix"
msgstr "距离必需是'dist'计算的结果或是正方形矩阵"

msgid "'k' must be in {1, 2, ..  n - 1}"
msgstr "'k'必需是{1, 2, ..  n - 1}中的一个"

msgid "some of the first %d eigenvalues are < 0"
msgstr "%d个特征值小于0"

msgid "initial value not feasible"
msgstr "初始值不可用"

msgid "contrasts not defined for %d degrees of freedom"
msgstr "对比不适用于%d自由度"

msgid ""
"orthogonal polynomials cannot be represented accurately enough for %d "
"degrees of freedom"
msgstr "因为自由度为%d，所以无法准确地表达正交多項式"

msgid "'scores' argument is of the wrong length"
msgstr "'scores'变元长度对对"

msgid "'scores' must all be different numbers"
msgstr "'scores'内包含的数值不能都是相同的"

msgid "'degree' must be at least 1"
msgstr "'degree'至少为1"

msgid "missing values are not allowed in 'poly'"
msgstr "'poly'里不能有遺漏值"

msgid "'degree' must be less than number of points"
msgstr "'degree'小于数据点的数目"

msgid "must supply one or more vectors"
msgstr "至少要提供一或多个向量"

msgid "arguments must have the same length"
msgstr "变元的长度必需一样"

msgid "contrasts apply only to factors"
msgstr "对比只适用于因子"

msgid "contrasts can be applied only to factors with 2 or more levels"
msgstr "对比只适用于有两个或多于两个层次的因子"

msgid "wrong number of contrast matrix rows"
msgstr "对比矩阵的行数不对"

msgid "singular contrast matrix"
msgstr "奇异对比矩阵"

msgid "numeric contrasts or contrast name expected"
msgstr "需要数值对比或对比的名字"

msgid "contrasts not defined for 0 degrees of freedom"
msgstr "0自由度不能设对比"

msgid "baseline group number out of range"
msgstr "基線组在值域外"

msgid "not enough degrees of freedom to define contrasts"
msgstr "设定对比的自由度不够"

msgid "supply both 'x' and 'y' or a matrix-like 'x'"
msgstr "要么同时设定'x'和'y'，要么只设定矩阵式的'x'"

msgid "cannot handle 'pairwise.complete.obs'"
msgstr "不知如何處理'pairwise.complete.obs'"

msgid "'V' is not a square numeric matrix"
msgstr "'V'不是正方形的数值矩阵"

msgid "diagonal has non-finite entries"
msgstr "矩阵对角含无限值"

msgid "not enough finite observations"
msgstr "有限值的观察量不够"

msgid "Cannot compute exact p-value with ties"
msgstr "无法给连结計算精確的p值"

msgid "Cannot compute exact p-values with ties"
msgstr "无法给连结計算精確的p值"

msgid "'formula' missing or invalid"
msgstr "'formula'遺漏或有错"

msgid "invalid formula"
msgstr "公式不对"

msgid "'x' must be a matrix or a data frame"
msgstr "'x'必需是矩阵或是数据框"

msgid "'x' must contain finite values only"
msgstr "'x'只能包含有限值"

msgid "length of 'wt' must equal the number of rows in 'x'"
msgstr "'wt'的长度必需同'x'的行数相同"

msgid "weights must be non-negative and not all zero"
msgstr "重量必需为非负值，而且不能全部都为0"

msgid "length of 'center' must equal the number of columns in 'x'"
msgstr "'center'的长度必需同'x'的列数相同"

msgid "invalid 'tree' (merge component)"
msgstr "'tree'不对(将组件合并)"

msgid "either 'k' or 'h' must be specified"
msgstr "'k'和'h'中必需设定一个"

msgid ""
"the 'height' component of 'tree' is not sorted\n"
"(increasingly); consider applying as.hclust() first"
msgstr ""
"'tree'里的'height'组件没有排序\n"
"由小到大；应该先用as.hclust()"

msgid "elements of 'k' must be between 1 and %d"
msgstr "'k'的单元必需在1和%d之间"

msgid "'merge' and 'height' do not fit!"
msgstr "'merge'和'height'不合!"

msgid "we require a dendrogram"
msgstr "需要系統樹圖"

msgid "dendrogram node with non-positive #{branches}"
msgstr "系統樹圖節點有非正#{分支}"

msgid "midcache() of non-binary dendrograms only partly implemented"
msgstr "非二分系統樹圖的midcache()只实现了一部分"

msgid "non-leaf subtree of length 0"
msgstr "长度为0的非叶子树"

msgid "'order.dendrogram' requires a dendrogram"
msgstr "'order.dendrogram'必需用在系統樹圖上"

msgid "invalid (length 0) node in dendrogram"
msgstr "系統樹圖里的节点不对(长度为0)"

msgid "dendrogram non-leaf node with non-positive #{branches}"
msgstr "系統樹圖里有非正#{分支}的非叶節點"

msgid "'X' is not a dendrogram"
msgstr "'X'不是系統樹圖"

msgid "'x' must be a numeric matrix"
msgstr "'x'必需为数值矩阵"

msgid "'x' must have at least 2 rows and 2 columns"
msgstr "'x'至少有两行和两列"

msgid "'margins' must be a numeric vector of length 2"
msgstr "'margins'必需是长度为二的数值向量"

msgid "row dendrogram ordering gave index of wrong length"
msgstr "行系統樹圖排序索引结果的长度出了错"

msgid "Colv = \"Rowv\" but nrow(x) != ncol(x)"
msgstr "Colv = \"Rowv\" 但 nrow(x) != ncol(x)"

msgid "column dendrogram ordering gave index of wrong length"
msgstr "行系統樹圖排序索引结果的长度出了错"

msgid "'ColSideColors' must be a character vector of length ncol(x)"
msgstr "'ColSideColors'必需是长度为ncol(x)的字节向量"

msgid "'RowSideColors' must be a character vector of length nrow(x)"
msgstr "'RowSideColors'必需是长度为nrow(x)的字节向量"

msgid "non-matched further arguments are disregarded"
msgstr "不匹配的额外变元略过不用"

msgid "argument 'x' must be numeric"
msgstr "变元'x'必需是数值"

msgid "'x' contains missing values"
msgstr "'x'内含遺漏值"

msgid "'x' and 'weights' have unequal length"
msgstr "'x'和'weights'的长度必需相同"

msgid "'weights' must all be finite"
msgstr "'weights'的值必需都是有限的"

msgid "'weights' must not be negative"
msgstr "'weights'不能是负数的"

msgid "sum(weights) != 1  -- will not get true density"
msgstr " sum(weights) != 1，因此无法取得真正的密度函数"

msgid "need at least 2 points to select a bandwidth automatically"
msgstr "自动选择頻寬至少需要两个数据点"

msgid "unknown bandwidth rule"
msgstr "没有这样的頻寬规则"

msgid "non-finite 'bw'"
msgstr "'bw'是无限值"

msgid "'bw' is not positive."
msgstr "'bw'不是正数。"

msgid "non-finite 'from'"
msgstr "'from'是无限值"

msgid "non-finite 'to'"
msgstr "'to'是无限值"

msgid "invalid formula in deriv"
msgstr "deriv里的公式不对"

msgid "'x' is not a vector"
msgstr "'x'不是向量"

msgid "bad value for 'lag' or 'differences'"
msgstr "'lag'或'differences'的值有错"

msgid "'xi' has not the right length"
msgstr "'xi'的长度不对"

msgid "incorrect dimensions for 'xi'"
msgstr "'xi'的尺寸不对"

msgid "'x' is not a vector or matrix"
msgstr "'x'不是向量或矩阵"

msgid "invalid distance method"
msgstr "距离方法不对"

msgid "ambiguous distance method"
msgstr "距离方法不明确"

msgid "non-square matrix"
msgstr "非正方形矩阵"

msgid "x[] and prob[] must be equal length vectors."
msgstr "x[]和prob[]必需是长度相等的向量。"

msgid "probabilities cannot be negative nor all 0."
msgstr "機率不能是负数，也不能全都是0。"

msgid "'x' must be non-negative"
msgstr "'x'必需为非负数"

msgid "size != sum(x), i.e. one is wrong"
msgstr "size != sum(x), 两个中间至少有一个不对"

msgid "'prob' and 'mu' both specified"
msgstr "'prob'和'mu'不能同时设定"

msgid "some terms will have NAs due to the limits of the method"
msgstr "因为这个方法的限制，有些项的值为NA"

msgid "'x' must have 1 or more non-missing values"
msgstr "'x'必需含一或多个非遺漏值"

msgid "wrong embedding dimension"
msgstr "嵌入维度不对"

msgid "'covmat' is not a valid covariance list"
msgstr "'covmat'这个协方差串列有错"

msgid "neither 'x' nor 'covmat' supplied"
msgstr "'x'和'covmat'都没有被设定"

msgid "response not allowed in formula"
msgstr "公式里不能有反应"

msgid "factor analysis applies only to numerical variables"
msgstr "因子分析只适用于数值变量"

msgid "'covmat' is of unknown type"
msgstr "'covmat'的种类不对"

msgid "requested scores without an 'x' matrix"
msgstr "被要求的分数没有'x'矩阵"

msgid "factor analysis requires at least three variables"
msgstr "因子分析至少需要三个变量"

msgid "%d factors is too many for %d variables"
msgstr "%2$d变量不能有%1$d这么多的因子"

msgid "'start' must have %d rows"
msgstr "'start'必需有%d行"

msgid "no starting values supplied"
msgstr "没有设定初始值"

msgid "unable to optimize from these starting value(s)"
msgstr "无法用这些初始值进行最佳化运算"

msgid "invalid argument 'lambda'"
msgstr "变元'lambda'不对"

msgid "link not recognised"
msgstr "没有这样的鏈結"

msgid "link \"%s\" not available for poisson family; available links are %s"
msgstr "Poisson分布族里没有\"%s\"这一鏈結函数；可以用的鏈結是%s"

msgid "negative values not allowed for the Poisson family"
msgstr "Poisson分布族不能用负数"

msgid ""
"link \"%s\" not available for quasipoisson family; available links are %s"
msgstr "quasipoisson分布族里没有\"%s\"这一鏈結函数；可以用的鏈結是%s"

msgid "negative values not allowed for the quasiPoisson family"
msgstr "quasiPoisson分布族不能用负数"

msgid "link \"%s\" not available for gaussian family; available links are %s"
msgstr "gaussian分布族里没有\"%s\"这一鏈結函数；可以用的鏈結是%s"

msgid "cannot find valid starting values: please specify some"
msgstr "找不到有效的初始值: 请设定"

msgid "link \"%s\" not available for binomial family; available links are %s"
msgstr "binomial分布族里没有\"%s\"这一鏈結函数；可以用的鏈結是%s"

msgid "y values must be 0 <= y <= 1"
msgstr "y值必需满足0 <= y <= 1"

msgid "non-integer #successes in a binomial glm!"
msgstr "binomial通用线性模型里出现了非整数的#成功!"

msgid "non-integer counts in a binomial glm!"
msgstr "binomial通用线性模型里出现了非整数的计数!"

msgid "for the binomial family, y must be a vector of 0 and 1's"
msgstr "binomial分布族中的y必需是由0和1组成的向量"

msgid ""
"or a 2 column matrix where col 1 is no. successes and col 2 is no. failures"
msgstr "或是有两个列的矩阵，第一列是成功的计数，第二列是失败的计数"

msgid ""
"link \"%s\" not available for quasibinomial family; available links are %s"
msgstr "quasibinomial分布族里没有\"%s\"这一鏈結函数；可以用的鏈結是%s"

msgid "for the quasibinomial family, y must be a vector of 0 and 1's"
msgstr "quasibinomial分布族中的y必需由0和1组成的向量"

msgid "link \"%s\" not available for gamma family; available links are %s"
msgstr "gamma分布族里没有\"%s\"这一鏈結函数；可以用的鏈結是%s"

msgid "non-positive values not allowed for the gamma family"
msgstr "gamma分布族不允许有负值"

msgid ""
"link \"%s\" not available for inverse.gaussian family; available links are %s"
msgstr "inverse.gaussian分布族里没有\"%s\"这一鏈結函数；可以用的鏈結%s"

msgid "positive values only allowed for the inverse.gaussian family"
msgstr "inverse.gaussian分布族只允许正值"

msgid ""
"'variance' \"%s\" is invalid: possible values are \"mu(1-mu)\", \"mu\", "
"\"mu^2\", \"mu^3\" and \"constant\""
msgstr ""
"'variance' \"%s\"不对：只能用\"mu(1-mu)\", \"mu\", \"mu^2\", \"mu^3\"和"
"\"constant\"其中之一"

msgid "length mismatch in convolution"
msgstr "卷积中的长度不相符"

msgid "missing values in 'filter'"
msgstr "'filter'里有遺漏值"

msgid "'filter' is longer than time series"
msgstr "'filter'的长度比时间序列的长度要长"

msgid "argument 'sides' must be 1 or 2"
msgstr "变元'sides'必需是1或2"

msgid "length of 'init' must equal length of 'filter'"
msgstr "'init'的长度必需等于'filter'的长度"

msgid "'init'; must have 1 or %d cols"
msgstr "'init'; 必需有1或%d个列"

msgid "'x' must have at least 2 rows and columns"
msgstr "'x'至少必需有两行和两列"

msgid "'x' has entries too large to be integer"
msgstr "'x'的正数值太大"

msgid "'x' has been rounded to integer:"
msgstr "'x'捨入成正数:"

msgid "if 'x' is not a matrix, 'y' must be given"
msgstr "如果'x'不是矩阵的话, 一定得有'y'值"

msgid "'mult' must be integer >= 2, typically = 30"
msgstr "'mult'必需是 >= 2的正数，一般等于30"

msgid "alternative must be \"two.sided\", \"less\" or \"greater\""
msgstr "必需在\"two.sided\", \"less\"或\"greater\"中选一个"

msgid "'or' must be a single number between 0 and Inf"
msgstr "'or'必需是在0和Inf之间的一个数值"

msgid "need 2 or more non-zero row marginals"
msgstr "至少需要多于两个非零行边"

msgid "need 2 or more non-zero column marginals"
msgstr "至少需要多于两个非零列边"

msgid "'hybrid' is ignored for a 2 x 2 table"
msgstr "'hybrid'对2x2的表无用"

msgid "all groups must contain data"
msgstr "所有的组都必需包含数据"

msgid "all group levels must be finite"
msgstr "所有组的层次都必需是有限的"

msgid "not enough observations"
msgstr "观察量不够"

msgid "NA's are not allowed in groups or blocks"
msgstr "分组或区组里不能有NA"

msgid "y, groups and blocks must have the same length"
msgstr "'y', 'groups'和'blocks'的长度必需相同"

msgid "not an unreplicated complete block design"
msgstr "不是非折疊完全区组设计"

msgid "formula missing"
msgstr "没有公式"

msgid "incorrect specification for 'formula'"
msgstr "'formula'设定不对"

msgid "nothing to tabulate"
msgstr "没有可列表的数据"

msgid "incorrect specification for 'row.vars'"
msgstr "'row.vars'设定不对"

msgid "incorrect specification for 'col.vars'"
msgstr "'col.vars'设定不对"

msgid "'formula' must have both left and right hand sides"
msgstr "'formula'的公式左右两边都必需存在"

msgid "interactions are not allowed"
msgstr "不允许有交互作用项"

msgid "'formula' has '.' in both left and right hand side"
msgstr "'formula'的公式左右两边都有'.'"

msgid "incorrect variable names in rhs of formula"
msgstr "公式右边变量名字不对"

msgid "incorrect variable names in lhs of formula"
msgstr "公式左边变量名字不对"

msgid "cannot use dots in formula with given data"
msgstr "按照所提供的数据无法在公式里用点符号"

msgid "'x' must be an \"ftable\" object"
msgstr "'x'必需是\"ftable\"目标对象"

msgid "'file' must be a character string or connection"
msgstr "'file'必需是字符串或链结"

msgid "'row.var.names' missing"
msgstr "'row.var.names'有遺漏"

msgid "'col.vars' missing or incorrect"
msgstr "'col.vars'有遺漏或设定得不对"

msgid "'family' not recognized"
msgstr "'family'设定得不对"

msgid "invalid 'method':"
msgstr "'method'有错:"

msgid "'weights' must be a numeric vector"
msgstr "'weights'必需是数值向量"

msgid "negative weights not allowed"
msgstr "不能有负重量"

msgid "number of offsets is %d should equal %d (number of observations)"
msgstr "偏置的个数是%d，应该同观察量的个数%d相等"

msgid "value of 'epsilon' must be > 0"
msgstr "'epsilon'的值必需 > 0"

msgid "maximum number of iterations must be > 0"
msgstr "迭代的最高值数目必需 > 0"

msgid "'family' argument seems not to be a valid family object"
msgstr "'family'变元的值不是正确的分布族目标对象"

msgid "invalid linear predictor values in empty model"
msgstr "空模型里的线形従属変数值不对"

msgid "invalid fitted means in empty model"
msgstr "空模型的拟合平均值不对"

msgid ""
"length of 'start' should equal %d and correspond to initial coefs for %s"
msgstr "'start'的长度应该是%d，同%s的初始系数相一致"

msgid "NAs in V(mu)"
msgstr "V(mu) 里有NA"

msgid "0s in V(mu)"
msgstr "V(mu) 里有0"

msgid "NAs in d(mu)/d(eta)"
msgstr "d(mu)/d(eta) 里有NA"

msgid "no observations informative at iteration"
msgstr "观察量不含信息于迭代"

msgid "non-finite coefficients at iteration"
msgstr "係數值无限大于迭代"

msgid "X matrix has rank %d, but only %d observations"
msgstr "X矩阵的秩为%d, 但只有%d个观察量"

msgid ""
"no valid set of coefficients has been found: please supply starting values"
msgstr "找不到有效的係數：请提供初始值"

msgid "step size truncated due to divergence"
msgstr "因为算法分歧将步驟大小縮短"

msgid "inner loop 1; cannot correct step size"
msgstr "内循環1; 无法校正步驟大小"

msgid "step size truncated: out of bounds"
msgstr "縮短了步驟大小：在值域外"

msgid "inner loop 2; cannot correct step size"
msgstr "内循環2; 无法校正步驟大小"

msgid "algorithm did not converge"
msgstr "算法没有聚合"

msgid "algorithm stopped at boundary value"
msgstr "算法在边界值停止"

msgid "fitted probabilities numerically 0 or 1 occurred"
msgstr "拟合機率算出来是数值0或1"

msgid "fitted rates numerically 0 occurred"
msgstr "拟合速率算出来是数值0"

msgid "the following arguments to 'anova.glm' are invalid and dropped:"
msgstr "以下'anova.glm'的变元不对因此略过不用:"

msgid ","
msgstr ","

msgid "using F test with a %s family is inappropriate"
msgstr "将F检验用于%s 分布族是不对的"

msgid "using F test with a fixed dispersion is inappropriate"
msgstr "将F检验用于固定疏散的分布是不对的"

msgid "models with response"
msgstr "带反应的模型"

msgid "removed because response differs from model 1"
msgstr "被删除了，因为反应同模型1不相对"

msgid "models were not all fitted to the same size of dataset"
msgstr "模型拟合时没有用同样大小的数据集"

msgid "using F test with a '%s' family is inappropriate"
msgstr "将F检验用于%s分布族是不对的"

msgid "observations with zero weight not used for calculating dispersion"
msgstr "计算离散度时0重量的观察量略过不用"

msgid "invalid clustering method"
msgstr "群集方法不对"

msgid "ambiguous clustering method"
msgstr "群集方法不明确"

msgid "invalid dissimilarities"
msgstr "dissimilarities不对"

msgid "must have n >= 2 objects to cluster"
msgstr "用群集时必需有n >= 2的目标对象"

msgid "invalid length of members"
msgstr "成员长度不对"

msgid "invalid dendrogram"
msgstr "系統樹圖不对"

msgid "'merge' component in dendrogram must be integer"
msgstr "系統樹圖的'merge'组件必需是整数"

msgid "argument 'x' cannot be coerced to class \"hclust\""
msgstr "无法将'x'变元強制转换成\"hclust\"类别"

msgid "Consider providing an as.hclust.%s() method"
msgstr "请考虑提供as.hclust.%s()这一方法"

msgid "need dendrograms where all leaves have labels"
msgstr "需要所有叶子都有标记的系統樹圖"

msgid "'k' and 'h' must be a scalar"
msgstr "'k'和'h'必需都是纯量"

msgid "specify exactly one of 'k' and 'h'"
msgstr "'k'和'h'两者只能设定一个"

msgid "k must be between 2 and %d"
msgstr "k必需在2和%d之间"

msgid "specify exactly one of 'which' and 'x'"
msgstr "'which'和'x'两者只能设定一个"

msgid "all elements of 'which' must be between 1 and %d"
msgstr "'which'的所有单元值都必需在1和%d之间"

msgid "invalid parameter values"
msgstr "参数值不对"

msgid "a limit is missing"
msgstr "極限有遺漏"

msgid "'r' is less than 1"
msgstr "'r'小于1"

msgid "'m' is less than 1"
msgstr "'m'小于1"

msgid "'r' is less than 0"
msgstr "'r'小于0"

msgid "'m' must be numeric with non-negative integers"
msgstr "'m'必需是非负的整数"

msgid "unknown named kernel"
msgstr "没有这样的内核名"

msgid "'coef' must be a vector"
msgstr "'coef'必需是向量"

msgid "'coef' does not have the correct length"
msgstr "'coef'的长度不对"

msgid "coefficients do not add to 1"
msgstr "係數总和不是1"

msgid "'k' is not a kernel"
msgstr "'k'不是内核"

msgid "'x' is shorter than kernel 'k'"
msgstr "'x'比内核'k'要短"

msgid "'kernapply' is not available for object 'x'"
msgstr "'kernapply'不适用于目标对象 'x'"

msgid "'x' is not a kernel"
msgstr "'x'不是内核"

msgid "empty cluster: try a better set of initial centers"
msgstr "空的群集: 请试试更精确一点的初始中心集"

msgid "did not converge in %d iterations"
msgstr "%d迭代没有聚合"

msgid "number of cluster centres must lie between 1 and nrow(x)"
msgstr "群集中心数目必需在1和nrow(x) 这间"

msgid "did not converge in"
msgstr "没有聚合于"

msgid "iterations"
msgstr "迭代"

msgid "'centers' must be a number or a matrix"
msgstr "'centers'必需是个数字或矩阵"

msgid "more cluster centers than distinct data points."
msgstr "群集中心的数目要比数据点数目多。"

msgid "initial centers are not distinct"
msgstr "初始中心的值有些是相同的"

msgid "more cluster centers than data points"
msgstr "群集中心的数目要比数据点数目多"

msgid "'iter.max' must be positive"
msgstr "'iter.max'必需是正数"

msgid "must have same number of columns in 'x' and 'centers'"
msgstr "'x'和'centers'的列数必需相等"

msgid "not enough 'x' data"
msgstr "'x'数据不够"

msgid "not enough 'y' data"
msgstr "'y'数据不够"

msgid "cannot compute correct p-values with ties"
msgstr "在有连结的情况下无法正确計算p-值"

msgid "'y' must be numeric or a string naming a valid function"
msgstr "'y'必需是数值，否则的话请用字符串指名正确的函数"

msgid ""
"y must be supplied.\n"
"For density estimation use density()"
msgstr ""
"y必需存在。\n"
"用density()来估计密度"

msgid "'k' is not an integer"
msgstr "'k'不是整数"

msgid "method = '%s' is not supported. Using 'qr'"
msgstr "不支持method = '%s'。用'qr'"

msgid "number of offsets is %d, should equal %d (number of observations)"
msgstr "偏置的个数为%d，应该为%d (观察量数目)"

msgid "'x' must be a matrix"
msgstr "'x'必需是矩阵"

msgid "0 (non-NA) cases"
msgstr "没有(非NA)案例可用"

msgid "incompatible dimensions"
msgstr "维度不相配"

msgid "extra arguments"
msgstr "额外变元"

msgid "are just disregarded."
msgstr "略过不用。"

msgid "singular fit encountered"
msgstr "遇到了奇异拟合"

msgid "missing or negative weights not allowed"
msgstr "重量不允许是遺漏值或负值"

msgid "invalid 'lm' object:  no 'terms' nor 'qr' component"
msgstr "'lm'目标对象不对: 不包含'terms'或'qr'组件"

msgid "residual degrees of freedom in object suggest this is not an \"lm\" fit"
msgstr "目标对象的残差自由度表明这不是\"lm\" 拟合"

msgid "removed because response differs from"
msgstr "删除了，因为反应不同与"

msgid "model 1"
msgstr "模型1"

msgid "prediction from a rank-deficient fit may be misleading"
msgstr "用秩缺乏拟合来进行预测的结果很可能不可靠"

msgid "Predictions on current data refer to _future_ responses"
msgstr "用当前数据得到的预测结果对_未来_反应有用"

msgid ""
"Assuming prediction variance inversely proportional to weights used for "
"fitting"
msgstr "假设预测的方差同在拟和时所用的衡量成负比"

msgid "Assuming constant prediction variance even though model fit is weighted"
msgstr "虽然模型在拟和时用了衡量，但在预测时仍假定方差不变"

msgid "'weights' as formula should be one-sided"
msgstr "'weights'作为公式能在公式一边"

msgid "'object' has no 'effects' component"
msgstr "'object'没有'effects'组件"

msgid "the 'se.fit' argument is not yet implemented for \"mlm\" objects"
msgstr "'se.fit'变元还没有为\"mlm\"目标对象实现"

msgid "non-NA residual length does not match cases used in fitting"
msgstr "非NA残差的长度与拟合时所用的案例不相符"

msgid "too few cases, n < k"
msgstr "案例不够, n < k"

msgid "predictors must all be numeric"
msgstr "従属変数必需都是数值"

msgid "'degree' must be 0, 1 or 2"
msgstr "'degree'必需是0, 1或2"

msgid "both 'span' and 'enp.target' specified: 'span' will be used"
msgstr "'span'和'enp.target'同时有设定：只用'span'的值"

msgid "invalid 'control' argument"
msgstr "'control'变元不对"

msgid "only 1-4 predictors are allowed"
msgstr "只允许有1到4个従属変数"

msgid "invalid 'y'"
msgstr "'y'不对"

msgid ""
"specified the square of a factor predictor to be dropped when degree = 1"
msgstr "degree = 1时不能忽略因子従属変数的二次方"

msgid ""
"specified the square of a predictor to be dropped with only one numeric "
"predictor"
msgstr "只有一个数值従属変数时不能忽略従属変数的二次方"

msgid "specified parametric for all predictors"
msgstr "所有従属変数都被设定为参数"

msgid "first argument must be a \"loess\" object"
msgstr "第一个变元必需为\"loess\"目标对象"

msgid "'newdata' does not contain the variables needed"
msgstr "'newdata'不包含需要的变量"

msgid "no models to compare"
msgstr "没有可用来比较的模型"

msgid "extra arguments discarded"
msgstr "额外变元不用"

msgid "'start' and 'table' must be same length"
msgstr "'start'和'table'的长度必需相等"

msgid "this should not happen"
msgstr "这不应该发生"

msgid "incorrect specification of 'table' or 'start'"
msgstr "当'table'或'start'正确地被设定时"

msgid "'x' is empty"
msgstr "'x'是空的"

msgid "%d missing values deleted"
msgstr "删除了%d个遺漏值"

msgid "'X' matrix has %d responses, 'Y' has %d responses"
msgstr "'X'矩阵有%d个反应, 而'Y'有%d个"

msgid "%d responses, but only %d variables"
msgstr "%d个反应, 但只有%d个变量"

msgid "number of weights = %d should equal %d (number of responses)"
msgstr "weights = %d但应等于%d (反应数目)"

msgid "'X' matrix was collinear"
msgstr "'X'是同線矩阵"

msgid "missing observations deleted"
msgstr "删除了遺漏观察量"

msgid "observations with 0 weight not used in calculating standard deviation"
msgstr "计算标准差时不用0重量的观察量"

msgid "observations with 0 weights not used"
msgstr "不用0重量的观察量"

msgid "'low' and 'high' cannot be both TRUE"
msgstr "'low'和'high'不能同时都为TRUE"

msgid "need multiple response"
msgstr "需要多个反应"

msgid "object must be of class \"manova\" or \"maov\""
msgstr "目标对象必需是\"manova\"或\"maov\"的类别"

msgid "residuals have rank %d < %d"
msgstr "残差的秩 %d < %d"

msgid "NAs are not allowed"
msgstr "不能有NA"

msgid "each dimension in table must be >= 2"
msgstr "表的每个维度都必需 >= 2"

msgid "'x' must be a 3-dimensional array"
msgstr "'x'必需是3维陣列"

msgid "if 'x' is not an array, 'y' must be given"
msgstr "如果'x'不是陣列的话, 必需提供'y'值"

msgid "if 'x' is not an array, 'z' must be given"
msgstr "如果'x'不是陣列的话, 必需提供'z'值"

msgid "'x', 'y', and 'z' must have the same length"
msgstr "'x', 'y',和'z'的长度必需相等"

msgid "sample size in each stratum must be > 1"
msgstr "每个阶层里的样本大小都必需 > 1"

msgid "'x' must be square with at least two rows and columns"
msgstr "'x'必需是正方形的至少有两列和两行的矩阵"

msgid "'x' and 'y' must have the same number of levels (minimum 2)"
msgstr "'x'和'y'必需有相同数目的层次(最少要有两层)"

msgid "need numeric data"
msgstr "需要数值数据"

msgid "medpolish() did not converge in %d iterations"
msgstr "medpolish()经过%d个迭代仍没有聚合"

msgid "'mlm' objects with weights are not supported"
msgstr "目前不支持带重量的'mlm'目标对象"

msgid "X does not define a subspace of M"
msgstr "X不设定M的子空间"

msgid "residuals have rank"
msgstr "残差有秩"

msgid "<"
msgstr "<"

msgid "'model.tables' is not implemented for multiple responses"
msgstr "'model.tables'没有为多反应实现"

msgid "type '%s' is not implemented yet"
msgstr "还没有实现'%s'种类"

msgid "this fit does not inherit from \"lm\""
msgstr "这拟和值不是由\"lm\"继承来的"

msgid "'cterms' argument must match terms in model object"
msgstr "'cterms'变元必需同模型目标对象里的项相配"

msgid "Design is unbalanced - use se.contrast() for se's"
msgstr "设计不平衡 - 用se.contrast()算标准误"

msgid ""
"Standard error information not returned as design is unbalanced. \n"
"Standard errors can be obtained through 'se.contrast'."
msgstr ""
"因为设计是不平衡的，没有回覆标准误信息。\n"
"但可以通过'se.contrast'来计算标准误。"

msgid "SEs for type '%s' are not yet implemented"
msgstr "还没有为'%s'种类实现标准误的算法"

msgid "na.action must be a function"
msgstr "na.action必需为函数"

msgid "non-factors ignored:"
msgstr "非因子略过不用:"

msgid "eff.aovlist: non-orthogonal contrasts would give an incorrect answer"
msgstr "eff.aovlist: 用非正交对比来算的结果会出错"

msgid "no terms component"
msgstr "没有项组件"

msgid ""
"variable '%s' was fitted with class \"%s\" but class \"%s\" was supplied"
msgstr "变量'%s'是由\"%s\"类别拟合而成，与提供的类别\"%s\"不相配"

msgid "variables %s were specified with different classes from the fit"
msgstr "设定的变量%s的类别同拟合的类别不相符"

msgid "'data' must be a data.frame, not a matrix or an array"
msgstr "'data'必需是数据框, 不能是矩阵或陣列"

msgid "'newdata' had %d rows but variable(s) found have %d rows"
msgstr "'newdata'有%d行但变量里有%d行"

msgid "variable '%s' is not a factor"
msgstr "变量'%s'不是因子"

msgid "factor '%s' has new level(s) %s"
msgstr "因子'%s'有新的层次%s"

msgid "'offset' must be numeric"
msgstr "'offset'必需为数值"

msgid "model frame and formula mismatch in model.matrix()"
msgstr "model.matrix()里的模型框和公式不相配"

msgid "variable '%s' converted to a factor"
msgstr "变量'%s'被转成因子"

msgid "invalid 'contrasts.arg' argument"
msgstr "'contrasts.arg'变元不对"

msgid "variable '%s' is absent, its contrast will be ignored"
msgstr "没有变量'%s'，因此它的对比略过不用"

msgid "invalid response type"
msgstr "反应种类不对"

msgid "invalid 'data' argument"
msgstr "'data'变元不对"

msgid "all times contain an NA"
msgstr "所有的时间都包含NA"

msgid "missing values in object"
msgstr "目标对象里有遺漏值"

msgid "invalid argument 'omit'"
msgstr "变元'omit'不对"

msgid "'print.level' must be in {0,1,2}"
msgstr "'print.level'必需是{0,1,2}"

msgid "lower < upper  is not fulfilled"
msgstr "没有满足lower < upper这个条件"

msgid "f() values at end points not of opposite sign"
msgstr "位于极点边的f()值之正负号不相反"

msgid "_NOT_ converged in"
msgstr "没有聚合于"

msgid "control argument must be a named list"
msgstr "控制变元必需是串列"

msgid "unrecognized control element(s) named `"
msgstr "没有叫这个名字的控制元素"

msgid "' ignored"
msgstr "' 略过不用"

msgid "Logical `hessian' argument not allowed.  See documentation."
msgstr "不能有逻辑值的`hessian变元。请参考说明书。' "

msgid "'params' has wrong length"
msgstr "'params'的长度不对"

msgid "'varying' must be in 1:length(pars)"
msgstr "'varying'必需在1:length(pars) 之间"

msgid "'varying' has wrong length"
msgstr "'varying'长度不对"

msgid "'varying' must be logical, integer or character"
msgstr "'varying'必需是逻辑值，整数值或字符"

msgid "invalid argument to 'getProfile'"
msgstr "'getProfile'变元不对"

msgid "cannot recognize parameter name"
msgstr "没有这样的参数名"

msgid "levels truncated to positive values only"
msgstr "层次被縮短成正值"

msgid "setVarying : 'vary' length must match length of parameters"
msgstr "setVarying : vary的长度必需同参数的长度相符"

msgid "singular gradient matrix at initial parameter estimates"
msgstr "参数初始估计值里有奇异梯度矩阵"

msgid "'data' must be a list or an environment"
msgstr "'data'必需是串列或是环境"

#, fuzzy
msgid "no parameters to fit"
msgstr "所有参数值都是固定的"

msgid "No starting values specified"
msgstr "没有设定初始值"

msgid "No starting values specified for some parameters."
msgstr "有些参数没有设定初始值"

msgid "Intializing"
msgstr "初始"

msgid "to '1.'."
msgstr "到'1.'."

msgid "Consider specifying 'start' or using a selfStart model"
msgstr "请考虑设'start'的值，或使用一个自我设定初始值的模型"

msgid "parameters without starting value in 'data':"
msgstr "'data'里的参数没有被设定初始值"

msgid "Upper or lower bounds ignored unless algorithm = \"port\""
msgstr "除非algorithm = \"port\"，上限或下限将略过不用"

msgid "Convergence failure:"
msgstr "没有收斂："

msgid "cannot calculate REML log-likelihood for \"nls\" objects"
msgstr "无法为\"nls\"目标对象计算REML log-likelihood"

msgid "anova is only defined for sequences of \"nls\" objects"
msgstr "anova只适用于\"nls\"目标对象序列"

msgid "'anova' is only defined for sequences of \"nls\" objects"
msgstr "'anova'只适用于\"nls\"目标对象序列"

msgid "formula '%s' must be of the form '~expr'"
msgstr "公式'%s'的形式必需是'~expr'"

msgid "'%s' cannot be of mode '%s'"
msgstr "'%s'不可能有'%s'状态"

msgid "not enough groups"
msgstr "组个数不够"

msgid "bounds can only be used with method L-BFGS-B"
msgstr "只有在用L-BFGS-B方法时才能定优化界限"

msgid "read the documentation for 'trace' more carefully"
msgstr "请小心阅读'trace'说明书"

msgid ""
"method L-BFGS-B uses 'factr' (and 'pgtol') instead of 'reltol' and 'abstol'"
msgstr "L-BFGS-B方法用'factr'(和'pgtol') ，而不是'reltol'和'abstol'"

msgid "one-diml optimization by Nelder-Mead is unreliable: use optimize"
msgstr "用Nelder-Mead方法来算1维优化不很可靠，用optimize"

msgid "'x' must have 2 columns"
msgstr "'x'必需有两列"

msgid "'x' and 'n' must have the same length"
msgstr "'x'和'n'的长度必需相等"

msgid "too few groups"
msgstr "组数不够"

msgid "use only with \"lm\" objects"
msgstr "只对\"lm\"目标对象适用"

msgid "'which' must be in 1:6"
msgstr "'which'必需在1:6之间"

msgid "'id.n' must be in {1,..,%d}"
msgstr "'id.n'必需在{1,..,%d}中"

msgid "hat values (leverages) are all ="
msgstr "所有的帽值(杠杆率) 都是"

msgid "and there are no factor predictors; no plot no. 5"
msgstr "没有因子预测变无，因此没有第五幅画表"

msgid ""
"exactly one of 'n', 'delta', 'sd', 'power', and 'sig.level' must be NULL"
msgstr "'n', 'delta', 'sd', 'power',和'sig.level'之中只能有一个取NULL值"

msgid "'sig.level' must be numeric in [0, 1]"
msgstr "'sig.level'必需是在[0, 1] 里的数值"

msgid "internal error"
msgstr "内部错误"

msgid "exactly one of 'n', 'p1', 'p2', 'power', and 'sig.level' must be NULL"
msgstr "'n', 'p1', 'p2', 'power',和'sig.level'之中只能有一个取NULL值"

msgid ""
"exactly one of 'groups', 'n', 'between.var', 'within.var', 'power', and 'sig."
"level' must be NULL"
msgstr ""
"'groups', 'n', 'between.var', 'within.var', 'power',和'sig.level'之中只能有一"
"个取NULL值"

msgid "number of groups must be at least 2"
msgstr "组数至少为2"

msgid "number of observations in each group must be at least 2"
msgstr "每组的观察量数目至少为2"

msgid "'nterms' is missing with no default"
msgstr "没有'nterms'的值，也没有默認值"

msgid "'ppr' applies only to numerical variables"
msgstr "'ppr'只适用于数值变量"

msgid "mismatched 'x' and 'y'"
msgstr "'x'和'y'不相配"

msgid "wrong number of columns in 'x'"
msgstr "'x'里的列数不对"

msgid "cannot rescale a constant/zero column to unit variance"
msgstr "不能将常数的列/全部为零的列的方差重新调整为一"

msgid "PCA applies only to numerical variables"
msgstr "PCA只适用于数值变量"

msgid "no scores are available: refit with 'retx=TRUE'"
msgstr "没有分数: 用'retx=TRUE'重新进行拟合"

msgid "'newdata' must be a matrix or data frame"
msgstr "'newdata'必需是矩阵或是数据框"

msgid ""
"'newdata' does not have named columns matching one or more of the original "
"columns"
msgstr "'newdata'同原始数据没有相同的列名"

msgid "'newdata' does not have the correct number of columns"
msgstr "'newdata'列的数目不对"

msgid "wrong number of predictors"
msgstr "従属変数数目不对"

msgid "both 'x' and 'covmat' were supplied: 'x' will be ignored"
msgstr "同时提供了'x'和'covmat': 'x'略过不用"

msgid "'princomp' can only be used with more units than variables"
msgstr "'princomp'只能在单位比变量多的情况下使用"

msgid "cannot use cor=TRUE with a constant variable"
msgstr "cor=TRUE不能用于常数变量用"

msgid "covariance matrix is not non-negative definite"
msgstr "协方差矩阵不是非负定矩阵"

msgid "argument does not include a 'qr' component"
msgstr "变元不包含'qr'组件"

msgid "argument does not include an 'effects' component"
msgstr "变元不包含'effects'组件"

msgid "'proj' is not implemented for \"mlm\" fits"
msgstr "'proj'还没有为\"mlm\"拟合实现"

msgid "'proj' is not implemented for multiple responses"
msgstr "'proj'还没有为多反应实现"

msgid "not enough data"
msgstr "数据不够"

msgid "elements of 'n' must be positive"
msgstr "'n'的单元必需都是正的"

msgid "elements of 'x' must be nonnegative"
msgstr "'x'的单元必需都是非负的"

msgid "elements of 'x' must not be greater than those of 'n'"
msgstr "'x'的单元不能比'n'的单元大"

msgid "'p' must have the same length as 'x' and 'n'"
msgstr "'p'的长度必需同'x'和'n'的相等"

msgid "elements of 'p' must be in (0,1)"
msgstr "'p'的单元必需在(0,1) 里"

msgid "y is empty or has only NAs"
msgstr "y是空的或只含NA"

msgid "NA's are not allowed in 'groups' or 'blocks'"
msgstr "'groups'或'blocks'里不能有NA"

msgid "'y', 'groups' and 'blocks' must have the same length"
msgstr "'y', 'groups'和'blocks'的长度必需相同"

msgid "'formula' missing"
msgstr "没有'formula'"

msgid "missing values and NaN's not allowed if 'na.rm' is FALSE"
msgstr "'na.rm'如果设为FALSE的话不允许有遺漏值和NaN"

msgid "'probs' outside [0,1]"
msgstr "'probs'在[0,1] 外"

msgid "invalid argument 'n'"
msgstr "变元'n'不对"

msgid "invalid argument 'r'"
msgstr "变元'r'不对"

msgid "invalid argument 'c'"
msgstr "变元'c'不对"

msgid "arguments 'r' and 'c' must have the same sums"
msgstr "变元'r'和'c'的和必需是一样的"

msgid "'relevel' only for factors"
msgstr "'relevel'只适用于因子"

msgid "'ref' must be an existing level"
msgstr "'ref'必需是存在的层次"

msgid "ref = %d must be in 1:%d"
msgstr "ref = %d必需在1:%d里"

msgid "'varying' arguments must be the same length"
msgstr "'varying'变元的长度必需相同"

msgid "'times' is wrong length"
msgstr "'times'的长度不对"

msgid "there are records with missing times, which will be dropped."
msgstr "含遺漏时间的记录略过不用。"

msgid "some constant variables (%s) are really varying"
msgstr "某些恆量变量(%s) 其实在变动"

msgid "no 'time' or 'id' specified"
msgstr "没有设定'time'或'id'"

msgid "'k' must be positive"
msgstr "'k'必需是正数"

msgid "'k' must be odd!  Changing 'k' to"
msgstr "'k'只能是奇数! 把'k'改成"

msgid "'k' is bigger than 'n'!  Changing 'k' to"
msgstr "'k'比'n'大! 把'k'改成"

msgid "bandwidth 'k' must be >= 1 and odd!"
msgstr "頻寬'k'必需 >= 1而且还是奇数!"

msgid "argument 'object' has an impossible length"
msgstr "变元'object'的长度不可能取这个值"

msgid "no 'getInitial' method found for \"%s\" objects"
msgstr "找不到\"%s\" 目标对象的'getInitial'方法"

msgid "sample size must be between 3 and 5000"
msgstr "样本大小必需在3和5000之间"

msgid "all 'x' values are identical"
msgstr "所有'x'的值都是一样的"

msgid "ifault=%d. This should not happen"
msgstr "ifault=%d。这不应该发生"

msgid "attempt to smooth non-numeric values"
msgstr "不能平滑非数值数据"

msgid "attempt to smooth NA values"
msgstr "不能平滑NA值"

msgid "wrong endrule"
msgstr "endrule不对"

msgid "'nknots' must be numeric <= n"
msgstr "'nknots'必需是 <= n的数值"

msgid "cannot use more inner knots than unique 'x' values"
msgstr "内部结点数止比相互不同的'x'数目要多"

msgid "invalid 'control.spar'"
msgstr "'control.spar'不对"

msgid "lengths of 'x' and 'w' must match"
msgstr "'x'和'w'的长度必需相等"

msgid "all weights should be non-negative"
msgstr "所有的重量都必需是非负值"

msgid "some weights should be positive"
msgstr "至少有一些重量应该是正的"

msgid "need at least four unique 'x' values"
msgstr "至少需要四个相互不同的'x'值"

msgid "crossvalidation with non-unique 'x' values seems doubtful"
msgstr "用有重复的'x'来做crossvalidation好象不太对"

msgid "you must supply 1 < df <= n,  n = #{unique x} ="
msgstr "你必需提供1 < df <= n,  n = #{unique x} ="

msgid "NA lev[]; probably smoothing parameter 'spar' way too large!"
msgstr "NA lev[];很可能平滑参数'spar'的值太大了!"

msgid "setting df = 1  __use with care!__"
msgstr "设定df = 1  小心使用!"

msgid "need result of smooth.spline(*, keep.data=TRUE)"
msgstr "需要的是.spline(*, keep.data=TRUE) 的运算结果"

msgid "type = \"partial\" is not yet implemented"
msgstr "还没有实现type=\"partial\"的算法"

msgid "not a valid \"smooth.spline\" object"
msgstr " \"smooth.spline\"目标对象不对"

msgid "'y' must be numeric vector"
msgstr "'y'必需是数值向量"

msgid "number of observations in 'x' and 'y' must match."
msgstr " 'x'和'y'里的观察量数目必需相等。"

msgid "number of weights must match number of observations."
msgstr "重量数目必需和观察量数目相同。"

msgid "'span' must be between 0 and 1."
msgstr "'span'必需在0和1之间。"

msgid "'x' must be between 0 and 1 for periodic smooth"
msgstr "做周期平滑时'x'必需在0和1之间"

msgid "observation(s) with NAs, NaNs and/or Infs deleted"
msgstr "删除了含NA, NaN或Inf的观察量"

msgid "'p' must be between 0 and 0.5"
msgstr "'p'必需在0和0.5之间"

msgid "length of 'p' must be 1 or equal the number of columns of 'x'"
msgstr "'p'的长度必需是1或等于'x'的列数"

msgid "'x' must be a time series or an ar() fit"
msgstr "'x'必需是时间序列或ar()拟合"

msgid "must specify 'spans' or a valid kernel"
msgstr "必需设定'spans'或正确的内核"

msgid "coverage probability out of range [0,1)"
msgstr "覆蓋機率在值域 0,1) 外"

msgid "spline: first and last y values differ - using y[1] for both"
msgstr "spline: 第一个和最后一个y的值不相等 -用y[1]"

msgid "'deriv' must be between 0 and 3"
msgstr "'deriv'必需在0和3之间"

msgid "stepfun: 'x' must be ordered increasingly"
msgstr "stepfun: 'x'必需从小到大排序"

msgid "'x' must have length >= 1"
msgstr "'x'的长度必需 >= 1"

msgid "'y' must be one longer than 'x'"
msgstr "'y'必需比'x'长"

msgid "no 'as.stepfun' method available for 'x'"
msgstr "没有适用于'x'的'as.stepfun'方法"

msgid "not a valid step function"
msgstr "步驟函数不对"

msgid "'plot.stepfun' called with wrong type of argument 'x'"
msgstr "調用'plot.stepfun'时变元'x'的种类不对"

msgid "must be 0 or 1"
msgstr "必需是0或1"

msgid "only univariate series are allowed"
msgstr "只允许单变量序列"

msgid "series is not periodic or has less than two periods"
msgstr "序列没有周期，或其周期小于二"

msgid "unknown string value for s.window"
msgstr "s.window所设定的字符串值不对"

msgid "'cutpoints' must be unique in 0 < cuts < 1, but are ="
msgstr "'cutpoints'必需在0 < cuts < 1之间，而相互必需不同, 但实际上是 ="

msgid "'cutpoints' must be unique, but are ="
msgstr "'cutpoints'相互必需不同，但实际上是 ="

msgid "'x' must be between -1 and 1"
msgstr "'x'必需在-1和1之间"

msgid "'x' must be between %s and %s"
msgstr "'x'必需在%s和%s之间"

msgid "number of 'cutpoints' must be one less than number of symbols"
msgstr "'cutpoints'的数目必需比符号的数目小一个"

msgid "number of 'cutpoints' must be one more than number of symbols"
msgstr "'cutpoints'的数目必需比符号的数目多一个"

msgid "must have 2 'symbols' for logical 'x' argument"
msgstr "逻辑'x'变元必需有两个'symbols'"

msgid "invalid 'abbr.colnames'"
msgstr "'abbr.colnames'不对"

msgid "'mu' must be a single number"
msgstr "'mu'必需是单一数字"

msgid "'y' is missing for paired test"
msgstr "配对检验时没有设定'y'"

msgid "data are essentially constant"
msgstr "数据是恆量"

msgid "'main' must be TRUE, FALSE, NULL or character (vector)."
msgstr "'main'必需是TRUE, FALSE, NULL或字符(向量) 。"

msgid "x is not a vector or univariate time series"
msgstr "x不是向量或单变量时间序列"

msgid "singularities in regression"
msgstr "迴歸产生了奇异"

msgid "'ts' object must have one or more observations"
msgstr "'ts'目标对象至少必需有一个或多个观察量"

msgid "'start' cannot be after 'end'"
msgstr "'start'不能大于'end'"

msgid "no time series supplied"
msgstr "没有设定时间序列"

msgid "not all series have the same frequency"
msgstr "不是所有的序列都有相同的頻率"

msgid "non-intersecting series"
msgstr "非相叉序列"

msgid "non-time series not of the correct length"
msgstr "非时间序列的长度不对"

msgid "time series contains internal NAs"
msgstr "时间序列含内部NA"

msgid "series is corrupt, with no 'tsp' attribute"
msgstr "系列不对：缺少'tsp'这一属性"

msgid "series is corrupt: length %d with 'tsp' implying %d"
msgstr "系列不对：长度为%d的'tsp'意味着%d"

msgid "cannot plot more than 10 series as \"multiple\""
msgstr "无法将多于10个序列画成\"multiple\""

msgid "scatter plots only for univariate time series"
msgstr "散佈圖只适用于单变量时间序列"

msgid "'xy.labels' must be logical or character"
msgstr "'xy.labels'必需是逻辑值或是字符"

msgid "'frequency' and 'deltat' are both supplied and are inconsistent"
msgstr "'frequency'和'deltat'都被设定，但它们的值相互矛盾"

msgid "Frequency not changed"
msgstr "頻率没有变化"

msgid "bad value for 'start'"
msgstr "'start'的值不对"

msgid "'start' value not changed"
msgstr "'start'值没有变化"

msgid "bad value for 'end'"
msgstr "'end'值不对"

msgid "'end' value not changed"
msgstr "'end'值没有变化"

msgid "'start' > 'end'"
msgstr "'start' > 'end'"

msgid "extending time series when replacing values"
msgstr "替換时将时间序列延长"

msgid "times to be replaced do not match"
msgstr "需要替换的时间不相符"

msgid "no replacement values supplied"
msgstr "没有设定替换值"

msgid "too many replacement values supplied"
msgstr "提供了太多的替换值"

msgid ""
"number of values supplied is not a sub-multiple of the number of values to "
"be replaced"
msgstr "设定的值数目不是要替换值数目的倍数"

msgid "only replacement of elements is allowed"
msgstr "只能提供替换值"

msgid "'model' must be list"
msgstr "'model'必需是串列"

msgid "'ar' part of model is not stationary"
msgstr "模型的'ar'部分不平穩"

msgid "burn-in 'n.start' must be as long as 'ar + ma'"
msgstr "算法老化时'n.start'必需同'ar + ma'的大小一样"

msgid "'model$order' must be of length 3"
msgstr "'model$order'的长度必需为3"

msgid "inconsistent specification of 'ar' order"
msgstr "'ar'度数设定有矛盾"

msgid "inconsistent specification of 'ma' order"
msgstr "'ma'度数设定有矛盾"

msgid "number of differences must be a positive integer"
msgstr "差異数目必需是正整数"

msgid "'start.innov' is too short: need %d points"
msgstr "'start.innov'太短了，需要%d 个点"

msgid "insufficient observations"
msgstr "观察量数目不够"

msgid "need an object with call component"
msgstr "需要一个有調用组件的目标对象"

msgid "'ratio' must be a single positive number"
msgstr "'ratio'必需是单一的正数"

msgid "'x' and 'w' must have the same length"
msgstr "'x'和'w'的长度必需相同"

msgid "'y' must be numeric"
msgstr "'y'必需是数值"

msgid "not enough (finite) 'x' observations"
msgstr "(有限)'x'观察量数目不够"

msgid "Requested conf.level not achievable"
msgstr "无法达到所要求的conf.level"

msgid "cannot compute exact confidence interval with ties"
msgstr "有连结时无法計算精確的置信区间"

msgid "cannot compute exact p-value with zeroes"
msgstr "有0时无法計算精確的p值"

msgid "cannot compute exact confidence interval with zeroes"
msgstr "有0时无法計算精確的置信区间"

msgid "must supply either 'formula' or 'data'"
msgstr "至少要提供'formula'和'data'中间的一个"

msgid "too few distinct input values to fit an asymptotic regression model"
msgstr "无法拟合渐近迴歸模型，因为相互不同的输入值太少"

msgid "cannot fit an asymptotic regression model to these data"
msgstr "无法用这些数据来拟合渐近迴歸模型"

msgid "too few observations to fit an asymptotic regression model"
msgstr "观察量数目太小，无法拟合渐近迴歸模型"

msgid "too few distinct input values to fit the 'asympOff' model"
msgstr "因为相互不同的输入值太少，无法拟合'asympOff'模型"

msgid "too few distinct input values to fit the 'asympOrig' model"
msgstr "因为相互不同的输入值太少，无法拟合'asympOrig'模型"

msgid "too few distinct input values to fit a biexponential"
msgstr "因为相互不同的输入值太少，无法拟合biexponential"

msgid "must have length of response = length of second argument to 'SSfol'"
msgstr "反应的长度必需同'SSfol'的第二个变元的长度相同"

msgid "must have at least 4 observations to fit an 'SSfol' model"
msgstr "至少有4个观察量才能拟合'SSfol'模型"

msgid "too few distinct input values to fit a four-parameter logistic"
msgstr "因为相互不同的输入值太少，无法拟合四个参数的逻辑斯特模型"

msgid "too few distinct input values to fit a logistic model"
msgstr "因为相互不同的输入值太少，无法拟合逻辑斯特模型"

msgid "too few distinct input values to fit a Michaelis-Menten model"
msgstr "因为相互不同的输入值太少，无法拟合Michaelis-Menten模型"

msgid "too few distinct input values to fit the Gompertz model"
msgstr "因为相互不同的输入值太少，无法拟合Gompertz模型"

msgid "too few distinct input values to fit the Weibull growth model"
msgstr "因为相互不同的输入值太少，无法拟合Weibull成长模型"

msgid "all 'x' values must be non-negative to fit the Weibull growth model"
msgstr "所有'x'的值都必需是非负的才能拟合Weibull成长模型"

msgid "there are %d Error terms: only 1 is allowed"
msgid_plural "there are %d Error terms: only 1 is allowed"
msgstr[0] "有%d个Error项，但最多只允许有1个"
msgstr[1] ""

msgid "%d observation deleted due to missingness"
msgid_plural "%d observations deleted due to missingness"
msgstr[0] "因为不存在%d个观察量被删除了"
msgstr[1] ""

msgid "parameter %s does not occur in the model formula"
msgid_plural "parameters %s do not occur in the model formula"
msgstr[0] "参数%s没有在模型公式里出现过"
msgstr[1] ""

#~ msgid ""
#~ "link \"%s\" not available for binomial family, available links are \"logit"
#~ "\", \"\"probit\", \"cloglog\", \"cauchit\" and \"log\""
#~ msgstr ""
#~ "binomial分布族里没有\"%s\"这一鏈結函数；可以用的鏈結是\"logit\", "
#~ "\"\"probit\", \"cloglog\", \"cauchit\"和\"log\""

#~ msgid ""
#~ "link not available for quasibinomial family, available links are \"logit"
#~ "\", \"probit\", \"cloglog\", \"cauchit\" and \"log\""
#~ msgstr ""
#~ "quasibinomial分布族里没有\"%s\"这一鏈結函数；可以用的鏈結是\"logit\", "
#~ "\"\"probit\", \"cloglog\", \"cauchit\"和\"log\""

#~ msgid ""
#~ "link \"%s\" not available for inverse gauss family, available links are "
#~ "\"inverse\", \"1/mu^2\", \"log\" and \"identity\""
#~ msgstr ""
#~ "逆gauss分布族里没有\"%s\"这一鏈結函数；可以用的鏈結是\"inverse\", \"1/mu^2"
#~ "\", \"log\"和\"identity\""

#~ msgid "'k1' is not a kernel"
#~ msgstr "'k1'不是内核"

#~ msgid "'k2' is not a kernel"
#~ msgstr "'k2'不是内核"

#~ msgid "spline: invalid interpolation method"
#~ msgstr "spline: 内插方法不对"

#~ msgid "splinefun: invalid interpolation method"
#~ msgstr "splinefun: 内插方法不对"

#~ msgid "'x' must be numeric or logical"
#~ msgstr "'x'必需是数值或逻辑值"

#~ msgid ""
#~ "link not available for quasibinomial family, available links are \"logit"
#~ "\", \", \"\"probit\" and \"cloglog\""
#~ msgstr ""
#~ "quasibinomial分布族里没有\"%s\"这一鏈結函数；可以用的鏈結是\"logit\", \", "
#~ "\"\"probit\"和\"cloglog\""