msgid ""
msgstr ""
"Project-Id-Version: R 2.12.1\n"
"Report-Msgid-Bugs-To: bugs@r-project.org\n"
"POT-Creation-Date: 2011-01-03 16:13\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=CHARSET\n"
"Content-Transfer-Encoding: 8bit\n"


msgid "empty model supplied"
msgstr ""

msgid "'acf' must be of length two or more"
msgstr ""

msgid "object not interpretable as a factor"
msgstr ""

msgid "cannot fit models without level ('alpha' must not be 0 or FALSE)."
msgstr ""

msgid "'alpha', 'beta' and 'gamma' must be within the unit interval."
msgstr ""

msgid "data must be non-zero for multiplicative Holt-Winters."
msgstr ""

msgid "need at least 2 periods to compute seasonal start values."
msgstr ""

msgid "time series has no or less than 2 periods"
msgstr ""

msgid "the series is entirely NA"
msgstr ""

msgid "frequency must be a positive integer >= 2 for BSM"
msgstr ""

msgid "only implemented for univariate time series"
msgstr ""

msgid "'x' must be numeric"
msgstr ""

msgid "the first value of the time series must not be missing"
msgstr ""

msgid "all parameters were fixed"
msgstr ""

msgid "possible convergence problem: optim gave code="
msgstr ""

msgid "no factors in the fitted model"
msgstr ""

msgid "'which' specified no factors"
msgstr ""

msgid "'which' specified some non-factors which will be dropped"
msgstr ""

msgid "'lag.max' must be at least 0"
msgstr ""

msgid "'lag.max' must be at least 1"
msgstr ""

msgid "NAs in 'x'"
msgstr ""

msgid "x$lag must have at least 1 column"
msgstr ""

msgid "can use ci.type=\"ma\" only if first lag is 0"
msgstr ""

msgid "univariate time series only"
msgstr ""

msgid "no terms in scope"
msgstr ""

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

msgid "number of rows in use has changed: remove missing values?"
msgstr ""

msgid "attempting model selection on an essentially perfect fit is nonsense"
msgstr ""

msgid "using the %d/%d rows from a combined fit"
msgstr ""

msgid "F test assumes quasi%s family"
msgstr ""

msgid "no 'add1' method implemented for \"mlm\" models"
msgstr ""

msgid "scope is not a subset of term labels"
msgstr ""

msgid "no 'drop1' method for \"mlm\" models"
msgstr ""

msgid "F test assumes 'quasi%s' family"
msgstr ""

msgid "lower scope has term(s) %s not included in model"
msgstr ""

msgid "upper scope does not include model term(s) %s"
msgstr ""

msgid "AIC is not defined for this model, so 'step' cannot proceed"
msgstr ""

msgid "'A' must be an array or table"
msgstr ""

msgid "length of FUN, %d,\n does not match the length of the margins, %d"
msgstr ""

msgid "no rows to aggregate"
msgstr ""

msgid "'by' must be a list"
msgstr ""

msgid "arguments must have same length"
msgstr ""

msgid "'formula' missing or incorrect"
msgstr ""

msgid "'formula' must have both left and right hand sides"
msgstr ""

msgid "cannot change frequency from %g to %g"
msgstr ""

msgid "'x' must be coefficient matrix/data frame"
msgstr ""

msgid "option \"show.coef.Pvalues\" is invalid: assuming TRUE"
msgstr ""

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

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

msgid "option \"show.signif.stars\" is invalid: assuming TRUE"
msgstr ""

msgid "'anova' object must have colnames"
msgstr ""

msgid "'conf.level' must be a single number between 0 and 1"
msgstr ""

msgid "not enough 'x' observations"
msgstr ""

msgid "not enough 'y' observations"
msgstr ""

msgid "samples differ in location: cannot compute confidence set, returning NA"
msgstr ""

msgid "cannot compute confidence set, returning NA"
msgstr ""

msgid "cannot compute asymptotic confidence set or estimator"
msgstr ""

msgid "cannot compute estimate, returning NA"
msgstr ""

msgid "cannot compute exact p-value with ties"
msgstr ""

msgid "cannot compute exact confidence intervals with ties"
msgstr ""

msgid "grouping factor must have exactly 2 levels"
msgstr ""

msgid "weights are not supported in a multistratum aov() fit"
msgstr ""

msgid "Error() model is singular"
msgstr ""

msgid "the 'split' argument must be a list"
msgstr ""

msgid "unknown name(s) in the 'split' list"
msgstr ""

msgid "'coef' must define a contrast, i.e., sum to 0"
msgstr ""

msgid "'coef' must have same length as 'contrast.obj'"
msgstr ""

msgid "each element of '%s' must be logical"
msgstr ""

msgid "the contrast defined is empty (has no TRUE elements)"
msgstr ""

msgid "columns of 'contrast.obj' must define a contrast (sum to zero)"
msgstr ""

msgid "no degrees of freedom for residuals"
msgstr ""

msgid "'object' does not include an error 'qr' component"
msgstr ""

msgid "Refitting model to allow projection"
msgstr ""

msgid "columns of 'contrast.obj' must define a contrast(sum to zero)"
msgstr ""

msgid "collapsing to unique 'x' values"
msgstr ""

msgid "invalid interpolation method"
msgstr ""

msgid "need at least two non-NA values to interpolate"
msgstr ""

msgid "zero non-NA points"
msgstr ""

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

msgid "'vec' contains NAs"
msgstr ""

msgid "'vec' must be sorted non-decreasingly"
msgstr ""

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

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

msgid "'n.ahead' must be at least 1"
msgstr ""

msgid "number of series in 'object' and 'newdata' do not match"
msgstr ""

msgid "'se.fit' not yet implemented for multivariate models"
msgstr ""

msgid "Burg's algorithm only implemented for univariate series"
msgstr ""

msgid "MLE only implemented for univariate series"
msgstr ""

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

msgid "'order' must be a non-negative numeric vector of length 3"
msgstr ""

msgid "'seasonal' must be a list with component 'order'"
msgstr ""

msgid "'seasonal$order' must be a non-negative numeric vector of length 3"
msgstr ""

msgid "lengths of 'x' and 'xreg' do not match"
msgstr ""

msgid "wrong length for 'fixed'"
msgstr ""

msgid "some AR parameters were fixed: setting transform.pars = FALSE"
msgstr ""

msgid "too few non-missing observations"
msgstr ""

msgid "'init' is of the wrong length"
msgstr ""

msgid "non-stationary AR part"
msgstr ""

msgid "non-stationary seasonal AR part"
msgstr ""

msgid "non-stationary AR part from CSS"
msgstr ""

msgid "non-stationary seasonal AR part from CSS"
msgstr ""

msgid "'xreg' and 'newxreg' have different numbers of columns"
msgstr ""

msgid "MA part of model is not invertible"
msgstr ""

msgid "seasonal MA part of model is not invertible"
msgstr ""

msgid "converting non-invertible initial MA values"
msgstr ""

msgid "some ARMA parameters were fixed: setting transform.pars = FALSE"
msgstr ""

msgid "'xreg' is collinear"
msgstr ""

msgid "NAs present: setting 'delta' to -1"
msgstr ""

msgid "transformed ARMA parameters were fixed"
msgstr ""

msgid "need at least 2 data points"
msgstr ""

msgid "invalid 'x'"
msgstr ""

msgid "sample is too sparse to find TD"
msgstr ""

msgid "sample is too sparse to find alph2"
msgstr ""

msgid "no solution in the specified range of bandwidths"
msgstr ""

msgid "increasing bw.SJ() search interval (%d) to [%.4g,%.4g]"
msgstr ""

msgid "minimum occurred at one end of the range"
msgstr ""

msgid "'x' must be a list with at least 2 elements"
msgstr ""

msgid "'x' and 'g' must have the same length"
msgstr ""

msgid "all observations are in the same group"
msgstr ""

msgid "there must be at least 2 observations in each group"
msgstr ""

msgid "'x' must be nonnegative and integer"
msgstr ""

msgid "'n' must be a positive integer >= 'x'"
msgstr ""

msgid "incorrect length of 'x'"
msgstr ""

msgid "'p' must be a single number between 0 and 1"
msgstr ""

msgid "length of choices must be 2"
msgstr ""

msgid "object '%s' has no scores"
msgstr ""

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

msgid "biplots are not defined for complex PCA"
msgstr ""

msgid "unequal number of rows in 'cancor'"
msgstr ""

msgid "dimension 0 in 'x' or 'y'"
msgstr ""

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

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

msgid "'x' and 'y' must have the same length"
msgstr ""

msgid "'x' and 'y' must have at least 2 levels"
msgstr ""

msgid "all entries of 'x' must be nonnegative and finite"
msgstr ""

msgid "at least one entry of 'x' must be positive"
msgstr ""

msgid "cannot compute simulated p-value with zero marginals"
msgstr ""

msgid "'x' must at least have 2 elements"
msgstr ""

msgid "'x' and 'p' must have the same number of elements"
msgstr ""

msgid "probabilities must be non-negative."
msgstr ""

msgid "probabilities must sum to 1."
msgstr ""

msgid "Chi-squared approximation may be incorrect"
msgstr ""

msgid "NA values not allowed in 'd'"
msgstr ""

msgid "distances must be result of 'dist' or a square matrix"
msgstr ""

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

msgid "some of the first %d eigenvalues are < 0"
msgstr ""

msgid "initial value is not in the interior of the feasible region"
msgstr ""

msgid "Barrier algorithm ran out of iterations and did not converge"
msgstr ""

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 ""

msgid "orthogonal polynomials cannot be represented accurately enough for %d degrees of freedom"
msgstr ""

msgid "'scores' argument is of the wrong length"
msgstr ""

msgid "'scores' must all be different numbers"
msgstr ""

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

msgid "missing values are not allowed in 'poly'"
msgstr ""

msgid "'degree' must be less than number of unique points"
msgstr ""

msgid "must supply one or more vectors"
msgstr ""

msgid "arguments must have the same length"
msgstr ""

msgid "contrasts apply only to factors"
msgstr ""

msgid "contrasts can be applied only to factors with 2 or more levels"
msgstr ""

msgid "wrong number of contrast matrix rows"
msgstr ""

msgid "singular contrast matrix"
msgstr ""

msgid "numeric contrasts or contrast name expected"
msgstr ""

msgid "contr*(.., sparse=TRUE) needs package \"Matrix\" correctly installed"
msgstr ""

msgid "not enough degrees of freedom to define contrasts"
msgstr ""

msgid "baseline group number out of range"
msgstr ""

msgid "supply both 'x' and 'y' or a matrix-like 'x'"
msgstr ""

msgid "'y' must be numeric"
msgstr ""

msgid "'x' is empty"
msgstr ""

msgid "both 'x' and 'y' must be non-empty"
msgstr ""

msgid "cannot handle 'pairwise.complete.obs'"
msgstr ""

msgid "'V' is not a square numeric matrix"
msgstr ""

msgid "diag(.) had 0 or NA entries; non-finite result is doubtful"
msgstr ""

msgid "'x' must be a numeric vector"
msgstr ""

msgid "'y' must be a numeric vector"
msgstr ""

msgid "not enough finite observations"
msgstr ""

msgid "Cannot compute exact p-value with ties"
msgstr ""

msgid "Cannot compute exact p-values with ties"
msgstr ""

msgid "'formula' missing or invalid"
msgstr ""

msgid "invalid formula"
msgstr ""

msgid "'x' must be a matrix or a data frame"
msgstr ""

msgid "'x' must contain finite values only"
msgstr ""

msgid "length of 'wt' must equal the number of rows in 'x'"
msgstr ""

msgid "weights must be non-negative and not all zero"
msgstr ""

msgid "length of 'center' must equal the number of columns in 'x'"
msgstr ""

msgid "invalid 'tree' (merge component)"
msgstr ""

msgid "either 'k' or 'h' must be specified"
msgstr ""

msgid "the 'height' component of 'tree' is not sorted\n(increasingly); consider applying as.hclust() first"
msgstr ""

msgid "elements of 'k' must be between 1 and %d"
msgstr ""

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

msgid "we require a dendrogram"
msgstr ""

msgid "dendrogram node with non-positive #{branches}"
msgstr ""

msgid "midcache() of non-binary dendrograms only partly implemented"
msgstr ""

msgid "non-leaf subtree of length 0"
msgstr ""

msgid "'order.dendrogram' requires a dendrogram"
msgstr ""

msgid "invalid (length 0) node in dendrogram"
msgstr ""

msgid "dendrogram non-leaf node with non-positive #{branches}"
msgstr ""

msgid "'X' is not a dendrogram"
msgstr ""

msgid "'x' must be a numeric matrix"
msgstr ""

msgid "'x' must have at least 2 rows and 2 columns"
msgstr ""

msgid "'margins' must be a numeric vector of length 2"
msgstr ""

msgid "row dendrogram ordering gave index of wrong length"
msgstr ""

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

msgid "column dendrogram ordering gave index of wrong length"
msgstr ""

msgid "'ColSideColors' must be a character vector of length ncol(x)"
msgstr ""

msgid "'RowSideColors' must be a character vector of length nrow(x)"
msgstr ""

msgid "non-matched further arguments are disregarded"
msgstr ""

msgid "argument 'x' must be numeric"
msgstr ""

msgid "'x' contains missing values"
msgstr ""

msgid "'x' and 'weights' have unequal length"
msgstr ""

msgid "'weights' must all be finite"
msgstr ""

msgid "'weights' must not be negative"
msgstr ""

msgid "sum(weights) != 1  -- will not get true density"
msgstr ""

msgid "need at least 2 points to select a bandwidth automatically"
msgstr ""

msgid "unknown bandwidth rule"
msgstr ""

msgid "non-finite 'bw'"
msgstr ""

msgid "'bw' is not positive."
msgstr ""

msgid "non-finite 'from'"
msgstr ""

msgid "non-finite 'to'"
msgstr ""

msgid "invalid formula in deriv"
msgstr ""

msgid "'x' is not a vector"
msgstr ""

msgid "bad value for 'lag' or 'differences'"
msgstr ""

msgid "'xi' has not the right length"
msgstr ""

msgid "incorrect dimensions for 'xi'"
msgstr ""

msgid "'x' is not a vector or matrix"
msgstr ""

msgid "invalid distance method"
msgstr ""

msgid "ambiguous distance method"
msgstr ""

msgid "non-square matrix"
msgstr ""

msgid "x[] and prob[] must be equal length vectors."
msgstr ""

msgid "probabilities cannot be negative nor all 0."
msgstr ""

msgid "'x' must be non-negative"
msgstr ""

msgid "size != sum(x), i.e. one is wrong"
msgstr ""

msgid "'prob' and 'mu' both specified"
msgstr ""

msgid "some terms will have NAs due to the limits of the method"
msgstr ""

msgid "'x' must have 1 or more non-missing values"
msgstr ""

msgid "wrong embedding dimension"
msgstr ""

msgid "'covmat' is not a valid covariance list"
msgstr ""

msgid "neither 'x' nor 'covmat' supplied"
msgstr ""

msgid "response not allowed in formula"
msgstr ""

msgid "factor analysis applies only to numerical variables"
msgstr ""

msgid "'covmat' is of unknown type"
msgstr ""

msgid "requested scores without an 'x' matrix"
msgstr ""

msgid "factor analysis requires at least three variables"
msgstr ""

msgid "%d factors is too many for %d variables"
msgstr ""

msgid "'start' must have %d rows"
msgstr ""

msgid "no starting values supplied"
msgstr ""

msgid "unable to optimize from these starting value(s)"
msgstr ""

msgid "invalid argument 'lambda'"
msgstr ""

msgid "link not recognised"
msgstr ""

msgid "link \"%s\" not available for poisson family; available links are %s"
msgstr ""

msgid "negative values not allowed for the Poisson family"
msgstr ""

msgid "ignoring prior weights"
msgstr ""

msgid "link \"%s\" not available for quasipoisson family; available links are %s"
msgstr ""

msgid "negative values not allowed for the quasiPoisson family"
msgstr ""

msgid "link \"%s\" not available for gaussian family; available links are %s"
msgstr ""

msgid "cannot find valid starting values: please specify some"
msgstr ""

msgid "link \"%s\" not available for binomial family; available links are %s"
msgstr ""

msgid "y values must be 0 <= y <= 1"
msgstr ""

msgid "non-integer #successes in a binomial glm!"
msgstr ""

msgid "non-integer counts in a binomial glm!"
msgstr ""

msgid "for the binomial family, y must be a vector of 0 and 1's"
msgstr ""

msgid "or a 2 column matrix where col 1 is no. successes and col 2 is no. failures"
msgstr ""

msgid "cannot simulate from non-integer prior.weights"
msgstr ""

msgid "link \"%s\" not available for quasibinomial family; available links are %s"
msgstr ""

msgid "for the quasibinomial family, y must be a vector of 0 and 1's"
msgstr ""

msgid "link \"%s\" not available for gamma family; available links are %s"
msgstr ""

msgid "non-positive values not allowed for the gamma family"
msgstr ""

msgid "using weights as shape parameters"
msgstr ""

msgid "link \"%s\" not available for inverse.gaussian family; available links are %s"
msgstr ""

msgid "positive values only allowed for the inverse.gaussian family"
msgstr ""

msgid "Need CRAN package 'SuppDists' for 'inverse.gaussian' family"
msgstr ""

msgid "using weights as inverse variances"
msgstr ""

msgid "'variance' \"%s\" is invalid: possible values are \"mu(1-mu)\", \"mu\", \"mu^2\", \"mu^3\" and \"constant\""
msgstr ""

msgid "length mismatch in convolution"
msgstr ""

msgid "missing values in 'filter'"
msgstr ""

msgid "'filter' is longer than time series"
msgstr ""

msgid "argument 'sides' must be 1 or 2"
msgstr ""

msgid "length of 'init' must equal length of 'filter'"
msgstr ""

msgid "'init'; must have 1 or %d cols"
msgstr ""

msgid "'x' must have at least 2 rows and columns"
msgstr ""

msgid "'x' has entries too large to be integer"
msgstr ""

msgid "'x' has been rounded to integer:"
msgstr ""

msgid "if 'x' is not a matrix, 'y' must be given"
msgstr ""

msgid "'mult' must be integer >= 2, typically = 30"
msgstr ""

msgid "alternative must be \"two.sided\", \"less\" or \"greater\""
msgstr ""

msgid "'or' must be a single number between 0 and Inf"
msgstr ""

msgid "need 2 or more non-zero row marginals"
msgstr ""

msgid "need 2 or more non-zero column marginals"
msgstr ""

msgid "'hybrid' is ignored for a 2 x 2 table"
msgstr ""

msgid "all groups must contain data"
msgstr ""

msgid "all group levels must be finite"
msgstr ""

msgid "not enough observations"
msgstr ""

msgid "NA's are not allowed in groups or blocks"
msgstr ""

msgid "y, groups and blocks must have the same length"
msgstr ""

msgid "not an unreplicated complete block design"
msgstr ""

msgid "formula missing"
msgstr ""

msgid "incorrect specification for 'formula'"
msgstr ""

msgid "nothing to tabulate"
msgstr ""

msgid "incorrect specification for 'row.vars'"
msgstr ""

msgid "incorrect specification for 'col.vars'"
msgstr ""

msgid "interactions are not allowed"
msgstr ""

msgid "'formula' has '.' in both left and right hand side"
msgstr ""

msgid "incorrect variable names in rhs of formula"
msgstr ""

msgid "incorrect variable names in lhs of formula"
msgstr ""

msgid "cannot use dots in formula with given data"
msgstr ""

msgid "'x' must be an \"ftable\" object"
msgstr ""

msgid "'file' must be a character string or connection"
msgstr ""

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

msgid "'col.vars' missing or incorrect"
msgstr ""

msgid "'family' not recognized"
msgstr ""

msgid "invalid 'method' argument"
msgstr ""

msgid "'weights' must be a numeric vector"
msgstr ""

msgid "negative weights not allowed"
msgstr ""

msgid "number of offsets is %d should equal %d (number of observations)"
msgstr ""

msgid "value of 'epsilon' must be > 0"
msgstr ""

msgid "maximum number of iterations must be > 0"
msgstr ""

msgid "'family' argument seems not to be a valid family object"
msgstr ""

msgid "invalid linear predictor values in empty model"
msgstr ""

msgid "invalid fitted means in empty model"
msgstr ""

msgid "length of 'start' should equal %d and correspond to initial coefs for %s"
msgstr ""

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

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

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

msgid "no observations informative at iteration"
msgstr ""

msgid "non-finite coefficients at iteration %d"
msgstr ""

msgid "X matrix has rank %d, but only %d observations"
msgstr ""

msgid "no valid set of coefficients has been found: please supply starting values"
msgstr ""

msgid "step size truncated due to divergence"
msgstr ""

msgid "inner loop 1; cannot correct step size"
msgstr ""

msgid "step size truncated: out of bounds"
msgstr ""

msgid "inner loop 2; cannot correct step size"
msgstr ""

msgid "glm.fit: algorithm did not converge"
msgstr ""

msgid "glm.fit: algorithm stopped at boundary value"
msgstr ""

msgid "glm.fit: fitted probabilities numerically 0 or 1 occurred"
msgstr ""

msgid "glm.fit: fitted rates numerically 0 occurred"
msgstr ""

msgid "the following arguments to 'anova.glm' are invalid and dropped:"
msgstr ""

msgid ","
msgstr ""

msgid "using F test with a %s family is inappropriate"
msgstr ""

msgid "using F test with a fixed dispersion is inappropriate"
msgstr ""

msgid "models with response"
msgstr ""

msgid "removed because response differs from model 1"
msgstr ""

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

msgid "using F test with a '%s' family is inappropriate"
msgstr ""

msgid "observations with zero weight not used for calculating dispersion"
msgstr ""

msgid "invalid clustering method"
msgstr ""

msgid "ambiguous clustering method"
msgstr ""

msgid "invalid dissimilarities"
msgstr ""

msgid "must have n >= 2 objects to cluster"
msgstr ""

msgid "invalid length of members"
msgstr ""

msgid "invalid dendrogram"
msgstr ""

msgid "'merge' component in dendrogram must be integer"
msgstr ""

msgid "argument 'x' cannot be coerced to class \"hclust\""
msgstr ""

msgid "Consider providing an as.hclust.%s() method"
msgstr ""

msgid "need dendrograms where all leaves have labels"
msgstr ""

msgid "'k' and 'h' must be a scalar"
msgstr ""

msgid "specify exactly one of 'k' and 'h'"
msgstr ""

msgid "k must be between 2 and %d"
msgstr ""

msgid "specify exactly one of 'which' and 'x'"
msgstr ""

msgid "all elements of 'which' must be between 1 and %d"
msgstr ""

msgid "invalid parameter values"
msgstr ""

msgid "a limit is missing"
msgstr ""

msgid "missing values not allowed"
msgstr ""

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

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

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

msgid "'m' must be numeric with non-negative integers"
msgstr ""

msgid "unknown named kernel"
msgstr ""

msgid "'coef' must be a vector"
msgstr ""

msgid "'coef' does not have the correct length"
msgstr ""

msgid "coefficients do not add to 1"
msgstr ""

msgid "'k' is not a kernel"
msgstr ""

msgid "'x' is shorter than kernel 'k'"
msgstr ""

msgid "'kernapply' is not available for object 'x'"
msgstr ""

msgid "'x' is not a kernel"
msgstr ""

msgid "empty cluster: try a better set of initial centers"
msgstr ""

msgid "did not converge in %d iterations"
msgstr ""

msgid "number of cluster centres must lie between 1 and nrow(x)"
msgstr ""

msgid "did not converge in"
msgstr ""

msgid "iterations"
msgstr ""

msgid "'centers' must be a number or a matrix"
msgstr ""

msgid "more cluster centers than distinct data points."
msgstr ""

msgid "initial centers are not distinct"
msgstr ""

msgid "more cluster centers than data points"
msgstr ""

msgid "'iter.max' must be positive"
msgstr ""

msgid "must have same number of columns in 'x' and 'centers'"
msgstr ""

msgid "not enough 'x' data"
msgstr ""

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

msgid "cannot compute correct p-values with ties"
msgstr ""

msgid "'y' must be numeric or a string naming a valid function"
msgstr ""

msgid "numeric y must be supplied.\nFor density estimation use density()"
msgstr ""

msgid "'k' is not an integer"
msgstr ""

msgid "method = '%s' is not supported. Using 'qr'"
msgstr ""

msgid "number of offsets is %d, should equal %d (number of observations)"
msgstr ""

msgid "'x' must be a matrix"
msgstr ""

msgid "0 (non-NA) cases"
msgstr ""

msgid "incompatible dimensions"
msgstr ""

msgid "extra arguments"
msgstr ""

msgid "are just disregarded."
msgstr ""

msgid "singular fit encountered"
msgstr ""

msgid "missing or negative weights not allowed"
msgstr ""

msgid "invalid 'lm' object:  no 'terms' component"
msgstr ""

msgid "calling summary.lm(<fake-lm-object>) ..."
msgstr ""

msgid "residual degrees of freedom in object suggest this is not an \"lm\" fit"
msgstr ""

msgid "lm object does not have a proper 'qr' component.\n Rank zero or should not have used lm(.., qr=FALSE)."
msgstr ""

msgid "family '"
msgstr ""

msgid "' not implemented"
msgstr ""

msgid "calling anova.lm(<fake-lm-object>) ..."
msgstr ""

msgid "ANOVA F-tests on an essentially perfect fit are unreliable"
msgstr ""

msgid "removed because response differs from"
msgstr ""

msgid "model 1"
msgstr ""

msgid "calling predict.lm(<fake-lm-object>) ..."
msgstr ""

msgid "prediction from a rank-deficient fit may be misleading"
msgstr ""

msgid "Predictions on current data refer to _future_ responses"
msgstr ""

msgid "Assuming prediction variance inversely proportional to weights used for fitting"
msgstr ""

msgid "Assuming constant prediction variance even though model fit is weighted"
msgstr ""

msgid "'weights' as formula should be one-sided"
msgstr ""

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

msgid "the 'se.fit' argument is not yet implemented for \"mlm\" objects"
msgstr ""

msgid "non-NA residual length does not match cases used in fitting"
msgstr ""

msgid "too few cases, n < k"
msgstr ""

msgid "predictors must all be numeric"
msgstr ""

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

msgid "both 'span' and 'enp.target' specified: 'span' will be used"
msgstr ""

msgid "invalid 'control' argument"
msgstr ""

msgid "only 1-4 predictors are allowed"
msgstr ""

msgid "invalid 'y'"
msgstr ""

msgid "specified the square of a factor predictor to be dropped when degree = 1"
msgstr ""

msgid "specified the square of a predictor to be dropped with only one numeric predictor"
msgstr ""

msgid "specified parametric for all predictors"
msgstr ""

msgid "first argument must be a \"loess\" object"
msgstr ""

msgid "no models to compare"
msgstr ""

msgid "extra arguments discarded"
msgstr ""

msgid "'start' and 'table' must be same length"
msgstr ""

msgid "this should not happen"
msgstr ""

msgid "algorithm did not converge"
msgstr ""

msgid "incorrect specification of 'table' or 'start'"
msgstr ""

msgid "%d missing values deleted"
msgstr ""

msgid "'X' matrix has %d responses, 'Y' has %d responses"
msgstr ""

msgid "%d responses, but only %d variables"
msgstr ""

msgid "number of weights = %d should equal %d (number of responses)"
msgstr ""

msgid "'X' matrix was collinear"
msgstr ""

msgid "missing observations deleted"
msgstr ""

msgid "observations with 0 weight not used in calculating standard deviation"
msgstr ""

msgid "observations with 0 weights not used"
msgstr ""

msgid "'low' and 'high' cannot be both TRUE"
msgstr ""

msgid "need multiple response"
msgstr ""

msgid "object must be of class \"manova\" or \"maov\""
msgstr ""

msgid "need multiple responses"
msgstr ""

msgid "residuals have rank %d < %d"
msgstr ""

msgid "NAs are not allowed"
msgstr ""

msgid "each dimension in table must be >= 2"
msgstr ""

msgid "'x' must be a 3-dimensional array"
msgstr ""

msgid "if 'x' is not an array, 'y' must be given"
msgstr ""

msgid "if 'x' is not an array, 'z' must be given"
msgstr ""

msgid "'x', 'y', and 'z' must have the same length"
msgstr ""

msgid "sample size in each stratum must be > 1"
msgstr ""

msgid "'x' must be square with at least two rows and columns"
msgstr ""

msgid "'x' and 'y' must have the same number of levels (minimum 2)"
msgstr ""

msgid "need numeric data"
msgstr ""

msgid "medpolish() did not converge in %d iterations"
msgstr ""

msgid "'mlm' objects with weights are not supported"
msgstr ""

msgid "X does not define a subspace of M"
msgstr ""

msgid "residuals have rank"
msgstr ""

msgid "<"
msgstr ""

msgid "'model.tables' is not implemented for multiple responses"
msgstr ""

msgid "type '%s' is not implemented yet"
msgstr ""

msgid "this fit does not inherit from \"lm\""
msgstr ""

msgid "'cterms' argument must match terms in model object"
msgstr ""

msgid "Design is unbalanced - use se.contrast() for se's"
msgstr ""

msgid "design is unbalanced so cannot proceed"
msgstr ""

msgid "Standard error information not returned as design is unbalanced. \nStandard errors can be obtained through 'se.contrast'."
msgstr ""

msgid "SEs for type '%s' are not yet implemented"
msgstr ""

msgid "na.action must be a function"
msgstr ""

msgid "non-factors ignored:"
msgstr ""

msgid "eff.aovlist: non-orthogonal contrasts would give an incorrect answer"
msgstr ""

msgid "cannot create a formula from a zero-column data frame"
msgstr ""

msgid "no terms component"
msgstr ""

msgid "'termlabels' must be a character vector of length at least one"
msgstr ""

msgid "'termobj' must be a object of class \"terms\""
msgstr ""

msgid "variable '%s' was fitted with type \"%s\" but type \"%s\" was supplied"
msgstr ""

msgid "variables %s were specified with different types from the fit"
msgstr ""

msgid "'data' must be a data.frame, not a matrix or an array"
msgstr ""

msgid "'newdata' had %d rows but variable(s) found have %d rows"
msgstr ""

msgid "character variable '%s' changed to a factor"
msgstr ""

msgid "variable '%s' is not a factor"
msgstr ""

msgid "factor '%s' has new level(s) %s"
msgstr ""

msgid "'offset' must be numeric"
msgstr ""

msgid "model frame and formula mismatch in model.matrix()"
msgstr ""

msgid "variable '%s' converted to a factor"
msgstr ""

msgid "invalid 'contrasts.arg' argument"
msgstr ""

msgid "variable '%s' is absent, its contrast will be ignored"
msgstr ""

msgid "using type=\"numeric\" with a factor response will be ignored"
msgstr ""

msgid "invalid response type"
msgstr ""

msgid "invalid 'data' argument"
msgstr ""

msgid "all times contain an NA"
msgstr ""

msgid "missing values in object"
msgstr ""

msgid "invalid argument 'omit'"
msgstr ""

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

msgid "'interval' must be a vector of length 2"
msgstr ""

msgid "lower < upper  is not fulfilled"
msgstr ""

msgid "f.lower = f(lower) is NA"
msgstr ""

msgid "f.upper = f(upper) is NA"
msgstr ""

msgid "f() values at end points not of opposite sign"
msgstr ""

msgid "_NOT_ converged in"
msgstr ""

msgid "control argument must be a named list"
msgstr ""

msgid "unrecognized control element(s) named `"
msgstr ""

msgid "' ignored"
msgstr ""

msgid "Logical `hessian' argument not allowed.  See documentation."
msgstr ""

msgid "'params' has wrong length"
msgstr ""

msgid "'varying' must be in seq_along(pars)"
msgstr ""

msgid "'varying' has wrong length"
msgstr ""

msgid "'varying' must be logical, integer or character"
msgstr ""

msgid "invalid argument to 'getProfile'"
msgstr ""

msgid "cannot recognize parameter name"
msgstr ""

msgid "levels truncated to positive values only"
msgstr ""

msgid "setVarying : 'vary' length must match length of parameters"
msgstr ""

msgid "singular gradient matrix at initial parameter estimates"
msgstr ""

msgid "'data' must be a list or an environment"
msgstr ""

msgid "No starting values specified"
msgstr ""

msgid "No starting values specified for some parameters."
msgstr ""

msgid "Intializing"
msgstr ""

msgid "to '1.'."
msgstr ""

msgid "Consider specifying 'start' or using a selfStart model"
msgstr ""

msgid "parameters without starting value in 'data':"
msgstr ""

msgid "fitting parameters"
msgstr ""

msgid "without any variables"
msgstr ""

msgid "no parameters to fit"
msgstr ""

msgid "argument 'subset' will be ignored"
msgstr ""

msgid "argument 'na.action' will be ignored"
msgstr ""

msgid "Upper or lower bounds ignored unless algorithm = \"port\""
msgstr ""

msgid "cannot calculate REML log-likelihood for \"nls\" objects"
msgstr ""

msgid "anova is only defined for sequences of \"nls\" objects"
msgstr ""

msgid "'anova' is only defined for sequences of \"nls\" objects"
msgstr ""

msgid "formula '%s' must be of the form '~expr'"
msgstr ""

msgid "'%s' cannot be of mode '%s'"
msgstr ""

msgid "a two-sided formula is required"
msgstr ""

msgid "not enough groups"
msgstr ""

msgid "bounds can only be used with method L-BFGS-B"
msgstr ""

msgid "unknown names in control:"
msgstr ""

msgid "read the documentation for 'trace' more carefully"
msgstr ""

msgid "'trace != 0' needs 'REPORT >= 1'"
msgstr ""

msgid "method L-BFGS-B uses 'factr' (and 'pgtol') instead of 'reltol' and 'abstol'"
msgstr ""

msgid "one-diml optimization by Nelder-Mead is unreliable: use optimize"
msgstr ""

msgid "Pooling of SD is incompatible with paired tests"
msgstr ""

msgid "'x' must have 2 columns"
msgstr ""

msgid "'x' and 'n' must have the same length"
msgstr ""

msgid "too few groups"
msgstr ""

msgid "Not plotting observations with leverage one:"
msgstr ""

msgid "use only with \"lm\" objects"
msgstr ""

msgid "'which' must be in 1:6"
msgstr ""

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

msgid "hat values (leverages) are all ="
msgstr ""

msgid "and there are no factor predictors; no plot no. 5"
msgstr ""

msgid "'x' and 'T' have incompatible length"
msgstr ""

msgid "'x' must be finite, nonnegative, and integer"
msgstr ""

msgid "'T' must be nonnegative"
msgstr ""

msgid "not enough data"
msgstr ""

msgid "The case k > 2 is unimplemented"
msgstr ""

msgid "'r' must be a single positive number"
msgstr ""

msgid "exactly one of 'n', 'delta', 'sd', 'power', and 'sig.level' must be NULL"
msgstr ""

msgid "'sig.level' must be numeric in [0, 1]"
msgstr ""

msgid "internal error"
msgstr ""

msgid "exactly one of 'n', 'p1', 'p2', 'power', and 'sig.level' must be NULL"
msgstr ""

msgid "exactly one of 'groups', 'n', 'between.var', 'within.var', 'power', and 'sig.level' must be NULL"
msgstr ""

msgid "number of groups must be at least 2"
msgstr ""

msgid "number of observations in each group must be at least 2"
msgstr ""

msgid "'nterms' is missing with no default"
msgstr ""

msgid "'ppr' applies only to numerical variables"
msgstr ""

msgid "mismatched 'x' and 'y'"
msgstr ""

msgid "wrong number of columns in 'x'"
msgstr ""

msgid "cannot rescale a constant/zero column to unit variance"
msgstr ""

msgid "PCA applies only to numerical variables"
msgstr ""

msgid "no scores are available: refit with 'retx=TRUE'"
msgstr ""

msgid "'newdata' must be a matrix or data frame"
msgstr ""

msgid "'newdata' does not have named columns matching one or more of the original columns"
msgstr ""

msgid "'newdata' does not have the correct number of columns"
msgstr ""

msgid "wrong number of predictors"
msgstr ""

msgid "both 'x' and 'covmat' were supplied: 'x' will be ignored"
msgstr ""

msgid "'princomp' can only be used with more units than variables"
msgstr ""

msgid "cannot use cor=TRUE with a constant variable"
msgstr ""

msgid "covariance matrix is not non-negative definite"
msgstr ""

msgid "argument does not include a 'qr' component"
msgstr ""

msgid "argument does not include an 'effects' component"
msgstr ""

msgid "'proj' is not implemented for \"mlm\" fits"
msgstr ""

msgid "'proj' is not implemented for multiple responses"
msgstr ""

msgid "table 'x' should have 2 entries"
msgstr ""

msgid "elements of 'n' must be positive"
msgstr ""

msgid "elements of 'x' must be nonnegative"
msgstr ""

msgid "elements of 'x' must not be greater than those of 'n'"
msgstr ""

msgid "'p' must have the same length as 'x' and 'n'"
msgstr ""

msgid "elements of 'p' must be in (0,1)"
msgstr ""

msgid "y is empty or has only NAs"
msgstr ""

msgid "NA's are not allowed in 'groups' or 'blocks'"
msgstr ""

msgid "'y', 'groups' and 'blocks' must have the same length"
msgstr ""

msgid "'formula' missing"
msgstr ""

msgid "factors are not allowed"
msgstr ""

msgid "missing values and NaN's not allowed if 'na.rm' is FALSE"
msgstr ""

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

msgid "invalid argument 'n'"
msgstr ""

msgid "invalid argument 'r'"
msgstr ""

msgid "invalid argument 'c'"
msgstr ""

msgid "arguments 'r' and 'c' must have the same sums"
msgstr ""

msgid "'relevel' only for factors"
msgstr ""

msgid "'ref' must be of length one"
msgstr ""

msgid "'ref' must be an existing level"
msgstr ""

msgid "ref = %d must be in 1L:%d"
msgstr ""

msgid "'sep' must be a character string"
msgstr ""

msgid "Failed to guess time-varying variables from their names"
msgstr ""

msgid "'varying' arguments must be the same length"
msgstr ""

msgid "'times' is wrong length"
msgstr ""

msgid "there are records with missing times, which will be dropped."
msgstr ""

msgid "some constant variables (%s) are really varying"
msgstr ""

msgid "no 'reshapeWide' attribute, must specify 'varying'"
msgstr ""

msgid "'varying' must be nonempty list or vector"
msgstr ""

msgid "length of v.names does not evenly divide length of varying"
msgstr ""

msgid "length of varying must be the product of length of v.names and length of times"
msgstr ""

msgid "'k' must be positive"
msgstr ""

msgid "'k' must be odd!  Changing 'k' to"
msgstr ""

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

msgid "bandwidth 'k' must be >= 1 and odd!"
msgstr ""

msgid "argument 'object' has an impossible length"
msgstr ""

msgid "no 'getInitial' method found for \"%s\" objects"
msgstr ""

msgid "sample size must be between 3 and 5000"
msgstr ""

msgid "all 'x' values are identical"
msgstr ""

msgid "ifault=%d. This should not happen"
msgstr ""

msgid "attempt to smooth non-numeric values"
msgstr ""

msgid "attempt to smooth NA values"
msgstr ""

msgid "wrong endrule"
msgstr ""

msgid "'nknots' must be numeric <= n"
msgstr ""

msgid "cannot use more inner knots than unique 'x' values"
msgstr ""

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

msgid "lengths of 'x' and 'w' must match"
msgstr ""

msgid "all weights should be non-negative"
msgstr ""

msgid "some weights should be positive"
msgstr ""

msgid "need at least four unique 'x' values"
msgstr ""

msgid "crossvalidation with non-unique 'x' values seems doubtful"
msgstr ""

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

msgid "NA lev[]; probably smoothing parameter 'spar' way too large!"
msgstr ""

msgid "setting df = 1  __use with care!__"
msgstr ""

msgid "need result of smooth.spline(*, keep.data=TRUE)"
msgstr ""

msgid "type = \"partial\" is not yet implemented"
msgstr ""

msgid "not a valid \"smooth.spline\" object"
msgstr ""

msgid "'y' must be numeric vector"
msgstr ""

msgid "number of observations in 'x' and 'y' must match."
msgstr ""

msgid "number of weights must match number of observations."
msgstr ""

msgid "'span' must be between 0 and 1."
msgstr ""

msgid "'x' must be between 0 and 1 for periodic smooth"
msgstr ""

msgid "no finite observations"
msgstr ""

msgid "observation(s) with NAs, NaNs and/or Infs deleted"
msgstr ""

msgid "'p' must be between 0 and 0.5"
msgstr ""

msgid "length of 'p' must be 1 or equal the number of columns of 'x'"
msgstr ""

msgid "'x' must be a time series or an ar() fit"
msgstr ""

msgid "must specify 'spans' or a valid kernel"
msgstr ""

msgid "coverage probability out of range [0,1)"
msgstr ""

msgid "spline: first and last y values differ - using y[1] for both"
msgstr ""

msgid "'spline' requires n >= 1"
msgstr ""

msgid "spline: first and last y values differ - using y[1L] for both"
msgstr ""

msgid "'deriv' must be between 0 and 3"
msgstr ""

msgid "'deriv' must be between 0 and 2"
msgstr ""

msgid "'x' must be *strictly* increasing (non - NA)"
msgstr ""

msgid "stepfun: 'x' must be ordered increasingly"
msgstr ""

msgid "'x' must have length >= 1"
msgstr ""

msgid "'y' must be one longer than 'x'"
msgstr ""

msgid "no 'as.stepfun' method available for 'x'"
msgstr ""

msgid "not a valid step function"
msgstr ""

msgid "'plot.stepfun' called with wrong type of argument 'x'"
msgstr ""

msgid "must be 0 or 1"
msgstr ""

msgid "only univariate series are allowed"
msgstr ""

msgid "series is not periodic or has less than two periods"
msgstr ""

msgid "unknown string value for s.window"
msgstr ""

msgid "'cutpoints' must be unique in 0 < cuts < 1, but are ="
msgstr ""

msgid "'cutpoints' must be unique, but are ="
msgstr ""

msgid "'x' must be between -1 and 1"
msgstr ""

msgid "'x' must be between %s and %s"
msgstr ""

msgid "number of 'cutpoints' must be one less than number of symbols"
msgstr ""

msgid "number of 'cutpoints' must be one more than number of symbols"
msgstr ""

msgid "must have 2 'symbols' for logical 'x' argument"
msgstr ""

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

msgid "'mu' must be a single number"
msgstr ""

msgid "'y' is missing for paired test"
msgstr ""

msgid "data are essentially constant"
msgstr ""

msgid "'main' must be TRUE, FALSE, NULL or character (vector)."
msgstr ""

msgid "x is not a vector or univariate time series"
msgstr ""

msgid "singularities in regression"
msgstr ""

msgid "'ts' object must have one or more observations"
msgstr ""

msgid "'start' cannot be after 'end'"
msgstr ""

msgid "no time series supplied"
msgstr ""

msgid "not all series have the same frequency"
msgstr ""

msgid "non-intersecting series"
msgstr ""

msgid "non-time series not of the correct length"
msgstr ""

msgid "time series contains internal NAs"
msgstr ""

msgid "series is corrupt, with no 'tsp' attribute"
msgstr ""

msgid "series is corrupt: length %d with 'tsp' implying %d"
msgstr ""

msgid "cannot plot more than 10 series as \"multiple\""
msgstr ""

msgid "scatter plots only for univariate time series"
msgstr ""

msgid "'xy.labels' must be logical or character"
msgstr ""

msgid "'frequency' and 'deltat' are both supplied and are inconsistent"
msgstr ""

msgid "Frequency not changed"
msgstr ""

msgid "bad value for 'start'"
msgstr ""

msgid "'start' value not changed"
msgstr ""

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

msgid "'end' value not changed"
msgstr ""

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

msgid "extending time series when replacing values"
msgstr ""

msgid "times to be replaced do not match"
msgstr ""

msgid "no replacement values supplied"
msgstr ""

msgid "too many replacement values supplied"
msgstr ""

msgid "number of values supplied is not a sub-multiple of the number of values to be replaced"
msgstr ""

msgid "only replacement of elements is allowed"
msgstr ""

msgid "'model' must be list"
msgstr ""

msgid "'ar' part of model is not stationary"
msgstr ""

msgid "burn-in 'n.start' must be as long as 'ar + ma'"
msgstr ""

msgid "'model$order' must be of length 3"
msgstr ""

msgid "inconsistent specification of 'ar' order"
msgstr ""

msgid "inconsistent specification of 'ma' order"
msgstr ""

msgid "number of differences must be a positive integer"
msgstr ""

msgid "'start.innov' is too short: need %d points"
msgstr ""

msgid "insufficient observations"
msgstr ""

msgid "need an object with call component"
msgstr ""

msgid "'ratio' must be a single positive number"
msgstr ""

msgid "'x' and 'w' must have the same length"
msgstr ""

msgid "not enough (finite) 'x' observations"
msgstr ""

msgid "Requested conf.level not achievable"
msgstr ""

msgid "cannot compute confidence interval when all observations are tied"
msgstr ""

msgid "cannot compute exact confidence interval with ties"
msgstr ""

msgid "cannot compute exact p-value with zeroes"
msgstr ""

msgid "cannot compute exact confidence interval with zeroes"
msgstr ""

msgid "must supply either 'formula' or 'data'"
msgstr ""

msgid "xtabs(*, sparse=TRUE) applies only to two-way tables"
msgstr ""

msgid "xtabs(*, sparse=TRUE) needs package \"Matrix\" correctly installed"
msgstr ""

msgid "too few distinct input values to fit an asymptotic regression model"
msgstr ""

msgid "cannot fit an asymptotic regression model to these data"
msgstr ""

msgid "too few observations to fit an asymptotic regression model"
msgstr ""

msgid "too few distinct input values to fit the 'asympOff' model"
msgstr ""

msgid "too few distinct input values to fit the 'asympOrig' model"
msgstr ""

msgid "too few distinct input values to fit a biexponential"
msgstr ""

msgid "must have length of response = length of second argument to 'SSfol'"
msgstr ""

msgid "must have at least 4 observations to fit an 'SSfol' model"
msgstr ""

msgid "too few distinct input values to fit a four-parameter logistic"
msgstr ""

msgid "too few distinct input values to fit a logistic model"
msgstr ""

msgid "too few distinct input values to fit a Michaelis-Menten model"
msgstr ""

msgid "too few distinct input values to fit the Gompertz model"
msgstr ""

msgid "too few distinct input values to fit the Weibull growth model"
msgstr ""

msgid "all 'x' values must be non-negative to fit the Weibull growth model"
msgstr ""

msgid        "there are %d Error terms: only 1 is allowed"
msgid_plural "there are %d Error terms: only 1 is allowed"
msgstr[0]    ""
msgstr[1]    ""

msgid        "%d observation deleted due to missingness"
msgid_plural "%d observations deleted due to missingness"
msgstr[0]    ""
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]    ""
msgstr[1]    ""