msgid ""
msgstr ""
"Project-Id-Version: R 4.4.0\n"
"Report-Msgid-Bugs-To: bugs.r-project.org\n"
"POT-Creation-Date: 2026-03-07 12:43\n"
"PO-Revision-Date: 2023-10-21 03:05+0000\n"
"Last-Translator: Natalia Labadie <nlabadie.fbioyf@gmail.com>\n"
"Language-Team: none\n"
"Language: es\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=2; plural=n != 1;\n"
"X-Generator: Weblate 4.16.4\n"

msgid "models are not all fitted to the same number of observations"
msgstr "No todos los modelos se han ajustado usando el mismo número de observaciones"

msgid "empty model supplied"
msgstr "Se ha suministrado un Modelo vacío"

msgid "'acf' must be of length two or more"
msgstr "«ACF» debe tener longitud de dos o más"

msgid "object not interpretable as a factor"
msgstr "El objeto no es interpretable como factor"

msgid "cannot fit models without level ('alpha' must not be 0 or FALSE)"
msgstr "No se puede ajustar modelos sin un nivel ('alpha' no debe ser 0 o FALSO)"

msgid "'alpha', 'beta' and 'gamma' must be within the unit interval"
msgstr "'alpha', 'beta' y 'gamma' deben estar dentro del intervalo unitario"

msgid "data must be non-zero for multiplicative Holt-Winters"
msgstr "Los datos deben ser distintos de cero para Holt-Winters Multiplicativo"

msgid "need at least 2 periods to compute seasonal start values"
msgstr "Necesita al menos 2 períodos para calcular los valores iniciales de estacionalidad"

msgid "invalid length(x)"
msgstr "Longitud no válida para x: length(x)"

msgid "optimization difficulties: %s"
msgstr "dificultades de optimización: %s"

msgid "optimization failure"
msgstr "fallo de optimización"

msgid "time series has no or less than 2 periods"
msgstr "la serie temporal no tiene periodos o tiene menos de 2 periodos"

msgid "the series is entirely NA"
msgstr "la serie está compuesta totalmente por NA"

msgid "frequency must be a positive integer >= 2 for BSM"
msgstr "la frecuencia debe ser un entero positivo >= 2 para BSM"

msgid "only implemented for univariate time series"
msgstr "solo implementado para series temporales univariadas"

msgid "'x' must be numeric"
msgstr "'x' debe ser numérico"

msgid "the first value of the time series must not be missing"
msgstr "el primer valor de la serie temporal no puede estar ausente"

msgid "all parameters were fixed"
msgstr "todos los parámetros se fijaron"

msgid "possible convergence problem: 'optim' gave code = %d and message %s"
msgstr "posible problema de convergencia: 'optim' ha dado código = %d y mensaje %s"

msgid "no factors in the fitted model"
msgstr "no hay factores en el modelo ajustado"

msgid "'which' specified no factors"
msgstr "'which' no especificaba ningún factor"

msgid "'which' specified some non-factors which will be dropped"
msgstr "'which' especificó algunos no-factores que se eliminarán"

msgid "'sampleT' and 'nser' must be integer"
msgstr "Las variables 'sampleT y 'nser' deben ser enteros"

msgid "'lag.max' must be at least 0"
msgstr "'lag.max' debe ser al menos 0"

msgid "'lag.max' must be at least 1"
msgstr "'lag.max' debe ser al menos 1"

#, fuzzy
msgid "NAs in 'x'"
msgstr "NAs en 'x'"

#, fuzzy
msgid "x$lag must have at least 1 column"
msgstr "x$lag debe tener al menos 1 columna"

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

msgid "Page [%d,%d]: i =%s; j =%s"
msgstr ""

msgid "univariate time series only"
msgstr "solo series temporales univariantes"

msgid "no terms in scope"
msgstr "Sin términos en el ámbito de trabajo"

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

msgid "number of rows in use has changed: remove missing values?"
msgstr "el número de filas en uso ha cambiado: ¿Eliminar los valores que faltan?"

msgid "attempting model selection on an essentially perfect fit is nonsense"
msgstr "no tiene sentido intentar seleccionar un modelo en un ajuste esencialmente perfecto"

msgid "F test assumes quasi%s family"
msgstr "la prueba F asume que la familia es quasi%s"

msgid "no 'add1' method implemented for \"mlm\" models"
msgstr "no se implementó el método 'add1' para los modelos \"mlm”"

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

msgid "no 'drop1' method for \"mlm\" models"
msgstr "no hay método 'drop1' para los modelos \"mlm\""

msgid "F test assumes 'quasi%s' family"
msgstr "la prueba F asume que la familia es ‘quasi%s’"

msgid "AIC is not defined for this model, so 'step' cannot proceed"
msgstr "La AIC no está definida para este modelo, entonces 'step' no puede proceder"

msgid "AIC is -infinity for this model, so 'step' cannot proceed"
msgstr "el AIC es -infinito para este modelo, por lo que 'step' no puede proceder"

#, fuzzy
msgid "'A' must be an array or table"
msgstr "'A' debe ser una matriz o tabla"

#, fuzzy
msgid ""
"length of FUN, %d,\n"
" does not match the length of the margins, %d"
msgstr ""
"longitud de FUN, %d,\n"
" no coincide con la longitud de los márgenes, %d"

msgid "no rows to aggregate"
msgstr "no hay filas para combinar"

#, fuzzy
msgid "'by' must be a list"
msgstr "'by' debe ser una lista"

msgid "arguments must have same length"
msgstr "los argumentos deben tener la misma longitud"

msgid "argument 'x' is  missing -- it has been renamed from 'formula'"
msgstr ""

msgid "argument 'x' must be a formula"
msgstr ""

msgid "formula 'x' 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 interval with ties"
msgstr ""

msgid "'formula' missing or incorrect"
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 "'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 "'ties' is not \"ordered\", a function, or list(<string>, <function>)"
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 "NAs in 'x' must be the same row-wise"
msgstr ""

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

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

msgid "zero-variance series"
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 "MLE only implemented for univariate series"
msgstr ""

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

msgid "'order.max' must be < 'n.used'"
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 "if not a list, 'seasonal' must be a non-negative numeric vector of length 3"
msgstr ""

msgid "'seasonal' is neither a list with component 'order' nor a 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 "possible convergence problem: optim gave code = %d"
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 "NAs in '%s'"
msgstr ""

msgid "invalid 'SSinit'"
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 "invalid 'nb'"
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 "'formula' should be of the form response ~ 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 "eig=TRUE is disregarded when list.=FALSE"
msgstr ""

msgid "x.ret=TRUE is disregarded when list.=FALSE"
msgstr ""

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

msgid "invalid value of %s"
msgstr "valor invalido de %s"

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

msgid "only %d of the first %d eigenvalues are > 0"
msgstr ""

msgid "Waiting for profiling to be done..."
msgstr ""

msgid "Reprofiling for"
msgstr ""

msgid "statistic. Waiting..."
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 "wrong number of columns in new data:"
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 "%s 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 "invalid 'use' argument"
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(V) had non-positive or NA entries; the non-finite result may be dubious"
msgstr ""

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

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

msgid "not enough finite observations"
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 (increasingly)"
msgstr ""

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

msgid "dendrogram entries must be 1,2,..,%d (in any order), to be coercible to \"hclust\""
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 "'reorder.dendrogram' requires a dendrogram"
msgstr ""

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

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

msgid "'height' must be at least %g, the maximal height of its components"
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 "argument 'x' must be numeric"
msgstr ""

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

msgid "'x' contains missing values"
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 "Selecting bandwidth *not* using 'weights'"
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' does not have the right length"
msgstr ""

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

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

msgid "x[1] != r[1]; using x[1] for diagonal"
msgstr ""

msgid "invalid distance method"
msgstr ""

msgid "ambiguous distance method"
msgstr ""

msgid "non-square matrix"
msgstr ""

msgid "specify 'rate' or 'scale' but not both"
msgstr ""

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

msgid "probabilities must be finite, non-negative and not 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 "multivariate case with missing coefficients is not yet implemented"
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 "no starting values supplied"
msgstr ""

#, fuzzy
msgid "invalid argument '%s'"
msgstr "valor invalido de %s"

msgid "%s link not recognised"
msgstr ""

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

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

msgid "ignoring prior weights"
msgstr ""

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

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

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

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

msgid "non-integer counts in a %s glm!"
msgstr ""

msgid ""
"for the '%s' family, y must be a vector of 0 and 1's\n"
"or a 2 column matrix where col 1 is no. successes and col 2 is no. failures"
msgstr ""

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

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

msgid "using weights as shape parameters"
msgstr ""

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

msgid "need CRAN package 'SuppDists' for simulation from the '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 "'circular' must be logical and not NA"
msgstr ""

msgid "length of 'init' must equal length of 'filter'"
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: %s"
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 "names(hybridPars) should be NULL or be identical to the default's"
msgstr ""

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

msgid "all groups must contain data"
msgstr ""

msgid "not enough observations"
msgstr ""

msgid "incorrect dimensions"
msgstr ""

msgid "at least two response categories required"
msgstr ""

msgid "at least two groups required"
msgstr ""

msgid "%s currently only allows independent right-censoring"
msgstr ""

msgid "error computing the Hessian in %s"
msgstr ""

msgid "Jeffreys penalisation was applied in %s because initial optimisation failed with:"
msgstr ""

msgid "unsuccessful optimisation in %s"
msgstr ""

msgid "incompatible length of argument 'mu' in %s"
msgstr ""

msgid "cannot compute exact permutation distribution in %s"
msgstr ""

msgid "cannot compute one-sided p-values in %s"
msgstr ""

msgid "permutation confidence intervals only available for 2-sample comparisons in %s"
msgstr ""

msgid "failed to compute confidence interval in %s"
msgstr ""

msgid "incorrect specification for '%s'"
msgstr ""

msgid "cannot have both a 'Surv()' response and an 'event' argument in %s"
msgstr ""

msgid "incorrect argument 'groups' in %s: at least two groups needed"
msgstr ""

msgid "%s is not defined for unordered responses"
msgstr ""

msgid "incorrect number of columns for 'prob' in %s"
msgstr ""

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

msgid "effect size can only be computed for two-sample problems in %s"
msgstr ""

msgid "%s only allows two-sided alternatives in the presence of more than two groups"
msgstr ""

msgid "NAs 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 "nothing to tabulate"
msgstr ""

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

msgid "interactions are not allowed"
msgstr ""

msgid "'formula' has '.' in both left and right hand sides"
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 "wrong method"
msgstr ""

msgid "'file' must be a character string or connection"
msgstr "'file' debe ser una conexión o cadena de caracteres"

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

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

msgid "Parameter:"
msgstr ""

msgid "down"
msgstr ""

msgid "up"
msgstr ""

msgid "profiling has found a better solution, so original fit had not converged"
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 "fitting to calculate the null deviance did not converge -- increase 'maxit'?"
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 %d"
msgstr ""

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

msgid "singular fit encountered"
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 %s removed because response differs from model 1"
msgstr ""

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

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

msgid "The \"ward\" method has been renamed to \"ward.D\"; note new \"ward.D2\""
msgstr ""

msgid "invalid clustering method"
msgstr ""

msgid "ambiguous clustering method"
msgstr ""

msgid "invalid dissimilarities"
msgstr ""

msgid "size cannot be NA nor exceed 65536"
msgstr ""

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

msgid "invalid length of members"
msgstr ""

msgid "argument 'x' cannot be coerced to class %s"
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 NA or NaN"
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 "number of cluster centres must lie between 1 and nrow(x)"
msgstr ""

msgid "Quick-TRANSfer stage steps exceeded maximum (= %d)"
msgstr ""

msgid "invalid nrow(x)"
msgstr ""

msgid "invalid ncol(x)"
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 "'x' is a list, so ignoring argument 'g'"
msgstr ""

msgid "some elements of 'x' are not numeric and will be coerced to numeric"
msgstr ""

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

msgid "Parameter(s)"
msgstr ""

msgid "ignored"
msgstr ""

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

msgid "p-value will be approximate in the presence of ties"
msgstr ""

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

msgid "ties should not be present for the one-sample Kolmogorov-Smirnov test"
msgstr ""

msgid "invalid arguments"
msgstr ""

msgid "argument 'sizes' must be a vector of length 2"
msgstr ""

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

msgid "computation of exact probability failed, returning Monte Carlo approximation"
msgstr ""

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

msgid ""
"numeric y must be supplied.\n"
"For 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 "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 "essentially perfect fit: summary may be unreliable"
msgstr ""

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

msgid "simulate() is not yet implemented for multivariate lm()"
msgstr ""

msgid "family '%s' not implemented"
msgstr ""

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

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

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

msgid "prediction from rank-deficient fit"
msgstr ""

msgid "%s; consider predict(., rankdeficient=\"NA\")"
msgstr ""

msgid "lower-rank qr: determining non-estimable cases"
msgstr ""

msgid "%s; attr(*, \"non-estim\") has doubtful cases"
msgstr ""

msgid "%s: NAs produced for non-estimable cases"
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 "invalid model QR matrix"
msgstr ""

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

msgid "too few cases i with h_ii > 0), 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 "invalid NCOL(X)"
msgstr ""

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

msgid "invalid NROW(X)"
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 "iterTrace = %d is not obeyed since iterations = %d"
msgstr ""

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

msgid "no models to compare"
msgstr ""

msgid "extra arguments discarded"
msgstr ""

msgid "'logLik.lm' does not support multiple responses"
msgstr ""

msgid "no \"nobs\" attribute is available"
msgstr ""

msgid "no 'nobs' method is available"
msgstr ""

msgid "'margin' must contain names or numbers corresponding to 'table'"
msgstr ""

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

msgid "object must be of class %s or %s"
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 "'mlm' objects with weights are not supported"
msgstr ""

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

msgid "residuals have rank %s < %s"
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. \n"
"Standard 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: %s"
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 "invalid formula: %s"
msgstr ""

msgid "invalid formula %s: not a call"
msgstr ""

msgid "invalid formula %s: assignment is deprecated"
msgstr ""

msgid "invalid formula %s: extraneous call to `%s` is deprecated"
msgstr ""

msgid "invalid formula %s"
msgstr ""

msgid "no terms component nor attribute"
msgstr ""

#, fuzzy
msgid "'termlabels' must be a character vector"
msgstr "'file' debe ser una conexión o cadena de caracteres"

msgid "'%s' must be a character string"
msgstr ""

msgid "Unparseable 'response' \"%s\"; use is deprecated.  Use as.name(.) or `..`!"
msgstr ""

msgid "'termobj' must be a object of class %s"
msgstr ""

msgid "setting '%s' in terms.formula() is deprecated"
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 "'data' must be a data.frame, environment, or list"
msgstr ""

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

msgid "contrasts dropped from factor %s"
msgstr ""

msgid "contrasts dropped from factor %s due to missing levels"
msgstr ""

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

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

msgid "non-list contrasts argument ignored"
msgstr ""

msgid "'contrasts.arg' argument must be named"
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 "'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 "invalid 'extendInt'; please report"
msgstr ""

msgid "no sign change found in %d iterations"
msgstr ""

msgid "did not succeed extending the interval endpoints for f(lower) * f(upper) <= 0"
msgstr ""

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

msgid "convergence problem in zero finding:"
msgstr ""

msgid "'control' argument must be a named list"
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 "invalid  'attr(rhs, \"gradient\")'"
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 "parameters without starting value in 'data': %s"
msgstr ""

msgid "no parameters to fit"
msgstr ""

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

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

msgid "upper and 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 (or Brent)"
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-dimensional optimization by Nelder-Mead is unreliable:\n"
"use \"Brent\" or optimize() directly"
msgstr ""

msgid "method = \"Brent\" is only available for one-dimensional optimization"
msgstr ""

msgid "'lower' and 'upper' must be finite values"
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:\n"
"  %s"
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 "y is empty or has only NAs"
msgstr ""

msgid ""
"hat values (leverages) are all = %s\n"
" 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 "exactly one of 'n', 'p1', 'p2', 'power', and 'sig.level' must be NULL"
msgstr ""

msgid "No p1 in [0, p2] can be found to achieve the desired power"
msgstr ""

msgid "No p2 in [p1, 1] can be found to achieve the desired power"
msgstr ""

msgid "No significance level [0, 1] can be found to achieve the desired power"
msgstr ""

msgid "'%s' must be numeric in [0, 1]"
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 "mismatched 'x' and 'weights'"
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 "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 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 "'conf.level' is not a probability"
msgstr ""

#, fuzzy
msgid "'type' must be an integer in 1..9"
msgstr "'by' debe ser una lista"

msgid "'type' must be 1 or 3 for ordered factors"
msgstr ""

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

msgid "'relevel' only for (unordered) factors"
msgstr ""

msgid "'relevel' only for unordered 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 "failed to guess time-varying variables from their names"
msgstr ""

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

msgid "'lengths(varying)' must all match 'length(times)'"
msgstr ""

msgid "'idvar' must uniquely identify records"
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 %d"
msgstr ""

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

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

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

msgid "right-hand side of formula is not a call"
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 "attempt to smooth non-numeric values"
msgstr ""

msgid "attempt to smooth NA values"
msgstr ""

msgid "invalid 'endrule' argument"
msgstr ""

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

msgid "missing or infinite values in inputs are not allowed"
msgstr ""

msgid "invalid number of points"
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 "'tol' must be strictly positive and finite"
msgstr ""

msgid "invalid 'keep.stuff'"
msgstr ""

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

msgid "'cv' must not be NA when 'df' is specified"
msgstr ""

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

msgid "Numeric 'all.knots' must be strictly increasing"
msgstr ""

msgid "'all.knots' is vector of knots; 'nknots' specification is disregarded"
msgstr ""

msgid "numeric 'all.knots' must cover [0,1] (= the transformed data-range)"
msgstr ""

msgid "'all.knots' is TRUE; 'nknots' specification is disregarded"
msgstr ""

msgid "'nknots' must be numeric (in {1,..,n})"
msgstr ""

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

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

msgid "must not specify both 'spar' and 'lambda'"
msgstr ""

msgid "'spar' must be of length 1"
msgstr ""

#, fuzzy
msgid "df.offset must be numeric and >= 0"
msgstr "'x' debe ser numérico"

#, fuzzy
msgid "penalty must be numeric and > 0"
msgstr "'x' debe ser numérico"

msgid "not using invalid df; must have 1 < df <= 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 "'span' must be between 0 and 1."
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 "'x' must be between 0 and 1 for periodic smooth"
msgstr ""

msgid "no finite observations"
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 "'y' must be increasing or decreasing"
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 "'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 "%s 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 "cannot use 'paired' in formula method"
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 "'end' must be a whole number of cycles after 'start'"
msgstr ""

msgid "no time series supplied"
msgstr ""

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

msgid "not all series have the same phase"
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 not NULL 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 "'n' must be strictly positive"
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 "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 (non-missing) 'x' observations"
msgstr ""

#, fuzzy
msgid "'correct' must be an integer between 0 and 3"
msgstr "'by' debe ser una lista"

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

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

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

msgid "'z' is not a rank vector"
msgstr ""

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

msgid "%s applies only to two-way tables"
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 "using the %d/%d row from a combined fit"
msgid_plural "using the %d/%d rows from a combined fit"
msgstr[0] ""
msgstr[1] ""

msgid "lower scope has term %s not included in model"
msgid_plural "lower scope has terms %s not included in model"
msgstr[0] ""
msgstr[1] ""

msgid "upper scope has term %s not included in model"
msgid_plural "upper scope has terms %s not included in model"
msgstr[0] ""
msgstr[1] ""

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 "unknown name %s in the 'split' list"
msgid_plural "unknown names %s in the 'split' list"
msgstr[0] ""
msgstr[1] ""

msgid "extra argument %s is not of class \"%s\""
msgid_plural "extra arguments %s are not of class \"%s\""
msgstr[0] ""
msgstr[1] ""

msgid "%d factor is too many for %d variables"
msgid_plural "%d factors are too many for %d variables"
msgstr[0] ""
msgstr[1] ""

msgid "'start' must have %d row"
msgid_plural "'start' must have %d rows"
msgstr[0] ""
msgstr[1] ""

msgid "unable to optimize from this starting value"
msgid_plural "unable to optimize from these starting values"
msgstr[0] ""
msgstr[1] ""

msgid "'init' must have %d column"
msgid_plural "'init' must have 1 or %d columns"
msgstr[0] ""
msgstr[1] ""

msgid "X matrix has rank %d, but only %d observation"
msgid_plural "X matrix has rank %d, but only %d observations"
msgstr[0] ""
msgstr[1] ""

msgid "did not converge in %d iteration"
msgid_plural "did not converge in %d iterations"
msgstr[0] ""
msgstr[1] ""

msgid "%d missing value deleted"
msgid_plural "%d missing values deleted"
msgstr[0] ""
msgstr[1] ""

msgid "'X' matrix has %d case (row)"
msgid_plural "'X' matrix has %d cases (rows)"
msgstr[0] ""
msgstr[1] ""

msgid "'Y' has %d case (row)"
msgid_plural "'Y' has %d cases (rows)"
msgstr[0] ""
msgstr[1] ""

msgid "only %d case"
msgid_plural "only %d cases"
msgstr[0] ""
msgstr[1] ""

msgid "but %d variable"
msgid_plural "but %d variables"
msgstr[0] ""
msgstr[1] ""

msgid "medpolish() did not converge in %d iteration"
msgid_plural "medpolish() did not converge in %d iterations"
msgstr[0] ""
msgstr[1] ""

msgid "'newdata' had %d row"
msgid_plural "'newdata' had %d rows"
msgstr[0] ""
msgstr[1] ""

msgid "but variable found had %d row"
msgid_plural "but variables found have %d rows"
msgstr[0] ""
msgstr[1] ""

msgid "factor %s has new level %s"
msgid_plural "factor %s has new levels %s"
msgstr[0] ""
msgstr[1] ""

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

msgid "_NOT_ converged in %d iteration"
msgid_plural "_NOT_ converged in %d iterations"
msgstr[0] ""
msgstr[1] ""

msgid "unrecognized control element named %s ignored"
msgid_plural "unrecognized control elements named %s ignored"
msgstr[0] ""
msgstr[1] ""

msgid "fitting parameter %s without any variables"
msgid_plural "fitting parameters %s without any variables"
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] ""

msgid "%d observation with NA, NaN or Inf deleted"
msgid_plural "%d observations with NAs, NaNs and/or Infs deleted"
msgstr[0] ""
msgstr[1] ""

msgid "'start.innov' is too short: need %d point"
msgid_plural "'start.innov' is too short: need %d points"
msgstr[0] ""
msgstr[1] ""
