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Revision 1733 - (download) (annotate)
Wed Jan 28 16:44:12 2015 UTC (4 years, 10 months ago) by gnustats
File size: 23702 byte(s)
# Korean translations for mgcv package.
# Recommended/mgcv/po/R-ko.po
# Maintainer: Simon Wood <simon.wood@r-project.org>
#
# This file is distributed under the same license as the R mgcv package.
# Chel Hee Lee <chl948@mail.usask.ca>, 2015.
# 
# Reviewing process is in progress (28-JAN-2015)
# The original source code review is in progress
# QC:
#
msgid ""
msgstr ""
"Project-Id-Version: R 3.1.0\n"
"Report-Msgid-Bugs-To: bugs.r-project.org\n"
"POT-Creation-Date: 2014-07-21 09:50\n"
"PO-Revision-Date: 2015-01-28 01:32-0600\n"
"Last-Translator:Chel Hee Lee  <chl948@mail.usask.ca>\n"
"Language-Team: Chel Hee Lee  <chl948@mail.usask.ca>\n"
"Language: ko\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"

msgid "'family' argument seems not to be a valid family object"
msgstr "'family' 인자는 올바른 family 객체가 아닌 것 같이 보입니다."

msgid "cannot find valid starting values: please specify some"
msgstr "사용가능한 초기값을 찾을 수 없습니다.  값을 지정해 주시길 바랍니다."

msgid "Deviance = %s Iterations - %d"
msgstr "편차(deviance)= %s 반복(iterations) - %d"

msgid "Non-finite deviance"
msgstr ""

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

msgid "algorithm did not converge"
msgstr "알고리즘이 수렴하지 않습니다."

msgid "fitted probabilities numerically 0 or 1 occurred"
msgstr "적합된 확률값이 수치적으로 0 또는 1 입니다."

msgid "fitted rates numerically 0 occurred"
msgstr "적합된 비율(rates)가 수치적으로 0입니다."

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

msgid "family not recognized"
msgstr "family에 대한 정보를 찾을 수 없습니다."

msgid "un-supported smoothness selection method"
msgstr "지원되지 않는 평활화 선택법(smoothness selection method)입니다."

msgid "min.sp not supported with fast REML computation, and ignored."
msgstr "fREML(fast REML 연산)을 method로 선택한 경우 min.sp는 사용되지 않습니다."

msgid "sparse=TRUE not supported with fast REML, reset to REML."
msgstr "sparse=TRUE인 경우 method는 fREML(fast REML)을 사용할 수 없으므로 REML을 사용합니다."

msgid "Not enough (non-NA) data to do anything meaningful"
msgstr "어떤 의미있는 작업을 하기에는 NA가 아닌 데이터의 개수가 충분하지 않습니다."

msgid "AR.start must be logical"
msgstr "AR.start는 반드시 논리형(logical)이어야 합니다."

msgid "Model has more coefficients than data"
msgstr "모형(model)이 가진 계수(coefficients)가 데이터의 개수보다 많습니다."

msgid "model matrix too dense for any possible benefit from sparse"
msgstr ""

msgid "AR1 parameter rho unused with sparse fitting"
msgstr ""

msgid "AR1 parameter rho unused with generalized model"
msgstr ""

msgid "samfrac too small - ignored"
msgstr ""

msgid "Model can not be updated"
msgstr ""

msgid "link not available for coxph family; available link is \"identity\""
msgstr ""

msgid "link not available for ordered categorical family; available links are \"identity\""
msgstr ""

msgid "Must supply theta or R to ocat"
msgstr ""

msgid "values out of range"
msgstr ""

msgid "link not available for negative binomial family; available links are \"identity\", \"log\" and \"sqrt\""
msgstr ""

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

msgid "link \"%s\" not available for Tweedie family."
msgstr ""

msgid "Tweedie p must be in interval (a,b)"
msgstr "트위디(tweedie) p는 반드시 구간 (a,b)내에 존재해야 합니다."

msgid "link not available for beta regression; available links are  \"logit\", \"probit\", \"cloglog\" and \"cauchit\""
msgstr ""

msgid "saturated likelihood may be inaccurate"
msgstr ""

msgid "link not available for scaled t distribution; available links are \"identity\", \"log\",  and \"inverse\""
msgstr ""

msgid "scaled t df must be >2"
msgstr ""

msgid "NA values not allowed for the scaled t family"
msgstr ""

msgid "link not available for zero inflated; available link for `lambda' is only  \"loga\""
msgstr ""

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

msgid "fast REML optimizer reached iteration limit"
msgstr ""

msgid "unsupported order of differentiation requested of gam.fit3"
msgstr ""

msgid "illegal `family' argument"
msgstr "`family' 인자의 값이 올바르지 않습니다."

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 "Can't find valid starting values: please specify some"
msgstr "사용가능한 초기값을 찾을 수 없습니다.  값을 정해주시길 바랍니다."

msgid "NAs in V(mu)"
msgstr "V(mu)에 NA가 발견되었습니다."

msgid "0s in V(mu)"
msgstr "V(mu)에 0이 존재합니다."

msgid "NAs in d(mu)/d(eta)"
msgstr "d(mu)/d(eta)로부터 NA를 찾았습니다."

msgid "No observations informative at iteration %d"
msgstr ""

msgid "Not enough informative observations."
msgstr ""

msgid "Non-finite coefficients at iteration %d"
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; can't correct step size"
msgstr ""

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

msgid "inner loop 2; can't correct step size"
msgstr ""

msgid "penalized deviance = %s"
msgstr ""

msgid "inner loop 3; can't correct step size"
msgstr ""

msgid "Step halved: new penalized deviance = %g"
msgstr ""

msgid "Non finite derivatives. Try decreasing fit tolerance! See `epsilon' in `gam.contol'"
msgstr ""

msgid "Non-finite derivatives. Try decreasing fit tolerance! See `epsilon' in `gam.contol'"
msgstr ""

msgid "Algorithm did not converge"
msgstr ""

msgid "Algorithm stopped at boundary value"
msgstr ""

msgid "Pearson scale estimate maybe unstable. See ?gam.scale."
msgstr ""

msgid "deriv should be 1 or 2"
msgstr ""

msgid "L must be a matrix."
msgstr "L은 반드시 행렬이어야 합니다."

msgid "L must have at least as many rows as columns."
msgstr "L이 가지고 있는 행의 개수는 적어도 열의 개수만큼 있어야 합니다."

msgid "L has inconsistent dimensions."
msgstr ""

msgid "link not implemented for extended families"
msgstr ""

msgid "fam not a family object"
msgstr ""

msgid "unrecognized (vector?) link"
msgstr ""

msgid "link not recognised"
msgstr ""

msgid "variance function not recognized for quasi"
msgstr ""

msgid "family not recognised"
msgstr ""

msgid "'theta' must be specified"
msgstr "'theta'의 값이 반드시 주어져야 합니다."

msgid "%s link not available for negative binomial family; available links are \"identity\", \"log\" and \"sqrt\""
msgstr ""

msgid "H has wrong dimension"
msgstr ""

msgid "only scalar `rho' and `theta' allowed."
msgstr ""

msgid "1<a<b<2 (strict) required"
msgstr ""

msgid "only scalar `p' and `phi' allowed."
msgstr ""

msgid "p must be in [1,2]"
msgstr "p는 반드시 구간 [1,2]내에 존재해야 합니다."

msgid "y must be strictly positive for a Gamma density"
msgstr ""

msgid "y must be an integer multiple of phi for Tweedie(p=1)"
msgstr ""

msgid "Only 1<p<=2 supported"
msgstr ""

msgid "p must be in (1,2)"
msgstr ""

msgid "mean, mu, must be non negative"
msgstr ""

msgid "scale parameter must be positive"
msgstr ""

msgid "emtpy models not available"
msgstr ""

msgid "Length of start should equal"
msgstr ""

msgid "and correspond to initial coefs for"
msgstr ""

msgid "Non-finite coefficients at iteration"
msgstr ""

msgid "indefinite penalized likelihood in gam.fit5"
msgstr ""

msgid "step failed: max abs grad ="
msgstr ""

msgid "iteration limit reached: max abs grad = %g"
msgstr ""

msgid "gaulss requires 2 links specified as character strings"
msgstr ""

msgid "link not available for mu parameter of gaulss"
msgstr ""

msgid "link not available for precision parameter of gaulss"
msgstr ""

msgid "ziplss requires 2 links specified as character strings"
msgstr ""

msgid "link not available for"
msgstr ""

msgid "parameter of ziplss"
msgstr ""

msgid "An object of length %d does not match the required parameter size"
msgstr ""

msgid "NA's in pdTens factor"
msgstr ""

msgid "Cannot extract the matrix from an uninitialized object"
msgstr ""

msgid "NA's in pdTens matrix"
msgstr ""

msgid "Cannot extract the matrix from an uninitialized pdMat object"
msgstr ""

msgid "Cannot extract the matrix with uninitialized dimensions"
msgstr ""

msgid "An object of length"
msgstr ""

msgid "does not match the required parameter size"
msgstr ""

msgid "Must give names when initializing pdIdnot from parameter."
msgstr ""

msgid "without a formula"
msgstr ""

msgid "Cannot extract the dimensions"
msgstr ""

msgid "Cannot extract the inverse from an uninitialized object"
msgstr ""

msgid "Can not convert this smooth class to a random effect"
msgstr ""

msgid "te smooths not useable with gamm4: use t2 instead"
msgstr ""

msgid "gamm can not fix only some margins of tensor product."
msgstr ""

msgid "Tensor product penalty rank appears to be too low: please email Simon.Wood@R-project.org with details."
msgstr ""

msgid "No data supplied to gamm.setup"
msgstr ""

msgid "gamm can not handle linked smoothing parameters (probably from use of `id' or adaptive smooths)"
msgstr ""

msgid "only one level of smooth nesting is supported by gamm"
msgstr ""

msgid "side conditions not allowed for nested smooths"
msgstr ""

msgid "object does not appear to be of class lme"
msgstr ""

msgid "inner groupings not nested in outer!!"
msgstr ""

msgid "iteration %d"
msgstr ""

msgid "gamm not converged, try increasing niterPQL"
msgstr ""

msgid "random argument must be a *named* list."
msgstr ""

msgid "all elements of random list must be named"
msgstr ""

msgid "gamm() can only handle random effects defined as named lists"
msgstr ""

msgid "gamm models must have at least 1 smooth with unknown smoothing parameter or at least one other random effect"
msgstr ""

msgid "weights must be like glm weights for generalized case"
msgstr ""

msgid "Nested smooths must be fully random"
msgstr ""

msgid "dist not recognised"
msgstr ""

msgid "silly tolerance supplied"
msgstr ""

msgid "argument k must be positive."
msgstr ""

msgid "A not square"
msgstr ""

msgid "Can not have more eigenvalues than nrow(A)"
msgstr ""

msgid "nrow(M$X) != length(M$y)"
msgstr ""

msgid "ncol(M$X) != length(M$p)"
msgstr ""

msgid "length(M$w) != length(M$y)"
msgstr ""

msgid "nrow(M$Ain) != length(M$bin)"
msgstr ""

msgid "nrow(M$Ain) != length(M$p)"
msgstr ""

msgid "initial parameters not feasible"
msgstr ""

msgid "initial point very close to some inequality constraints"
msgstr ""

msgid "initial parameters very close to inequality constraints"
msgstr ""

msgid "ncol(M$C) != length(M$p)"
msgstr ""

msgid "M$S and M$off have different lengths"
msgstr ""

msgid "M$sp has different length to M$S and M$off"
msgstr ""

msgid "M$S[%d] is too large given M$off[%d]"
msgstr ""

msgid "Penalized model matrix must have no more columns than rows"
msgstr ""

msgid "Model matrix not full column rank"
msgstr ""

msgid "model has repeated 1-d smooths of same variable."
msgstr ""

msgid "`id' linked smooths must have same number of arguments"
msgstr ""

msgid "`rank' has wrong length in `paraPen'"
msgstr ""

msgid "a parametric penalty has wrong dimension"
msgstr ""

msgid "L has wrong dimension in `paraPen'"
msgstr ""

msgid "`sp' dimension wrong in `paraPen'"
msgstr ""

msgid "`sp' too short"
msgstr ""

msgid "No data supplied to gam.setup"
msgstr ""

msgid "paraPen not supported for multi-formula models"
msgstr ""

msgid "absorb.cons must be TRUE for multi-formula models"
msgstr ""

msgid "First argument is no sort of formula!"
msgstr ""

msgid "You've got no model...."
msgstr ""

msgid "Later terms sharing an `id' can not have more smoothing parameters than the first such term"
msgstr ""

msgid "Supplied smoothing parameter vector is too short - ignored."
msgstr ""

msgid "NA's in supplied smoothing parameter vector - ignoring."
msgstr ""

msgid "incorrect number of smoothing parameters supplied for a smooth term"
msgstr ""

msgid "length of min.sp is wrong."
msgstr ""

msgid "NA's in min.sp."
msgstr ""

msgid "elements of min.sp must be non negative."
msgstr ""

msgid "`negbin' with unknown theta and outer iteration is deprecated - use `nb'."
msgstr ""

msgid "unknown outer optimization method."
msgstr ""

msgid "nlm.fd not available with negative binomial Theta estimation"
msgstr ""

msgid "nlm.fd only available for GCV/UBRE"
msgstr ""

msgid "only outer methods `newton' & `bfgs' supports `negbin' family and theta selection: reset"
msgstr ""

msgid "sorry, general families currently ignore offsets"
msgstr ""

msgid "unknown optimizer"
msgstr ""

msgid "unknown smoothness selection criterion"
msgstr ""

msgid "Reset optimizer to outer/newton"
msgstr ""

msgid "in.out incorrect: see documentation"
msgstr ""

msgid "incorrect number of linear predictors for family"
msgstr ""

msgid "nthreads must be a positive integer"
msgstr ""

msgid "IRLS regularizing parameter must be a non-negative number."
msgstr ""

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

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

msgid "silly value supplied for rank.tol: reset to square root of machine precision."
msgstr ""

msgid "Model seems to contain no terms"
msgstr ""

msgid "Discrete Theta search not available with performance iteration"
msgstr ""

msgid "y must be univariate unless binomial"
msgstr ""

msgid "Length of start should equal %d and correspond to initial coefs."
msgstr ""

msgid "iterative weights or data non-finite in gam.fit - regularization may help. See ?gam.control."
msgstr ""

msgid "Step size truncated: out of bounds."
msgstr ""

msgid "`object' is not of class \"gam\""
msgstr ""

msgid "Smoothness uncertainty corrected covariance not available"
msgstr ""

msgid "Unknown type, reset to terms."
msgstr ""

msgid "predict.gam can only be used to predict from gam objects"
msgstr ""

msgid "newdata is a model.frame: it should contain all required variables"
msgstr ""

msgid "not all required variables have been supplied in  newdata!"
msgstr ""

msgid "type iterms not available for multiple predictor cases"
msgstr ""

msgid "non-existent terms requested - ignoring"
msgstr ""

msgid "requires an object of class gam"
msgstr ""

msgid "nothing to do for this model"
msgstr ""

msgid "Pearson residuals not available for this family - returning deviance residuals"
msgstr ""

msgid "lambda and h should have the same length!"
msgstr ""

msgid "recov works with fitted gam objects only"
msgstr ""

msgid "m can't be in re"
msgstr ""

msgid "p-values may give low power in some circumstances"
msgstr ""

msgid "p-values un-reliable"
msgstr ""

msgid "p-values may give very low power"
msgstr ""

msgid "p-values for any terms that can be penalized to zero will be unreliable: refit model to fix this."
msgstr ""

msgid "p.type!=0 is deprecated, and liable to be removed in future"
msgstr ""

msgid "The following arguments to anova.glm(..) are invalid and dropped:"
msgstr ""

msgid ","
msgstr ""

msgid "test argument ignored"
msgstr ""

msgid "anova.gam called with non gam object"
msgstr ""

msgid "not a gam object"
msgstr ""

msgid "argument is not a gam object"
msgstr ""

msgid "Supplied matrix not symmetric"
msgstr ""

msgid "singular values not returned in order"
msgstr ""

msgid "Something wrong - matrix probably not +ve semi definite"
msgstr ""

msgid "method not recognised."
msgstr ""

msgid "S[[%d]] matrix is not +ve definite."
msgstr ""

msgid "dimensions of supplied w wrong."
msgstr ""

msgid "w different length from y!"
msgstr ""

msgid "X lost dimensions in magic!!"
msgstr ""

msgid "a has wrong number of rows"
msgstr ""

msgid "mvn requires 2 or more dimensional data"
msgstr ""

msgid "object is not a glm or gam"
msgstr ""

msgid "names of z and pc must match"
msgstr ""

msgid "Partial residuals do not have a natural x-axis location for linear functional terms"
msgstr ""

msgid "no automatic plotting for smooths of more than two variables"
msgstr ""

msgid "no automatic plotting for smooths of more than one variable"
msgstr ""

msgid "residuals argument to plot.gam is wrong length: ignored"
msgstr ""

msgid "No variance estimates available"
msgstr ""

msgid "No terms to plot - nothing for plot.gam() to do."
msgstr ""

msgid "grid vectors are different lengths"
msgstr ""

msgid "data vectors are of different lengths"
msgstr ""

msgid "supplied dist negative"
msgstr ""

msgid "Model does not seem to have enough terms to do anything useful"
msgstr ""

msgid "view variables must be one of %s"
msgstr ""

msgid "Don't know what to do with parametric terms that are not simple numeric or factor variables"
msgstr ""

msgid "View variables must contain more than one value. view = c(%s,%s)."
msgstr ""

msgid "type must be \"link\" or \"response\""
msgstr ""

msgid "Something wrong with zlim"
msgstr ""

msgid "color scheme not recognised"
msgstr ""

msgid "sorry no option for contouring with errors: try plot.gam"
msgstr ""

msgid "At least three knots required in call to mono.con."
msgstr ""

msgid "lower bound >= upper bound in call to mono.con()"
msgstr ""

msgid "x is null"
msgstr ""

msgid "x has no row attribute"
msgstr ""

msgid "x has no col attribute"
msgstr ""

msgid "order too low"
msgstr ""

msgid "too few knots"
msgstr ""

msgid "x out of range"
msgstr ""

msgid "something wrong with argument d."
msgstr ""

msgid "one or more supplied k too small - reset to default"
msgstr ""

msgid "dimension of fx is wrong"
msgstr ""

msgid "xt argument is faulty."
msgstr ""

msgid "bs wrong length and ignored."
msgstr ""

msgid "m wrong length and ignored."
msgstr ""

msgid "Repeated variables as arguments of a smooth are not permitted"
msgstr ""

msgid "only first element of `id' used"
msgstr ""

msgid "ord is wrong. reset to NULL."
msgstr ""

msgid "ord contains out of range orders (which will be ignored)"
msgstr ""

msgid "by=. not allowed"
msgstr ""

msgid "s(.) not yet supported."
msgstr ""

msgid "argument k of s() should be integer and has been rounded"
msgstr ""

msgid "attempt to use unsuitable marginal smooth class"
msgstr ""

msgid "Sorry, tensor products of smooths with multiple penalties are not supported."
msgstr ""

msgid "reparameterization unstable for margin: not done"
msgstr ""

msgid "single penalty tensor product smooths are deprecated and likely to be removed soon"
msgstr ""

msgid "fx length wrong from t2 term: ignored"
msgstr ""

msgid "length of sp incorrect in t2: ignored"
msgstr ""

msgid "d can not be negative in call to null.space.dimension()."
msgstr ""

msgid "arguments of smooth not same dimension"
msgstr ""

msgid "components of knots relating to a single smooth must be of same length"
msgstr ""

msgid "more knots than data in a tp term: knots ignored."
msgstr ""

msgid "basis dimension, k, increased to minimum possible"
msgstr ""

msgid "no data to predict at"
msgstr ""

msgid "Basis only handles 1D smooths"
msgstr ""

msgid "number of supplied knots != k for a cr smooth"
msgstr ""

msgid "F is missing from cr smooth - refit model with current mgcv"
msgstr ""

msgid "more knots than unique data values is not allowed"
msgstr ""

msgid "number of supplied knots != k for a cc smooth"
msgstr ""

msgid "basis dimension too small for b-spline order"
msgstr ""

msgid "knot range does not include data"
msgstr ""

msgid "there should be"
msgstr ""

msgid "supplied knots"
msgstr ""

msgid "knots supplied"
msgstr ""

msgid "knot range is so wide that there is *no* information about some basis coefficients"
msgstr ""

msgid "penalty order too high for basis dimension"
msgstr ""

msgid "basis dimension is larger than number of unique covariates"
msgstr ""

msgid "fs smooths can only have one factor argument"
msgstr ""

msgid "\"fs\" smooth cannot use a multiply penalized basis (wrong basis in xt)"
msgstr ""

msgid "\"fs\" terms can not be fixed here"
msgstr ""

msgid "the adaptive smooth class is limited to 1 or 2 covariates."
msgstr ""

msgid "penalty basis too large for smoothing basis"
msgstr ""

msgid "penalty basis too small"
msgstr ""

msgid "random effects don't work with ids."
msgstr ""

msgid "MRF basis dimension set too high"
msgstr ""

msgid "data contain regions that are not contained in the knot specification"
msgstr ""

msgid "penalty matrix, boundary polygons and/or neighbours list must be supplied in xt"
msgstr ""

msgid "no spatial information provided!"
msgstr ""

msgid "mismatch between nb/polys supplied area names and data area names"
msgstr ""

msgid "Something wrong with auto- penalty construction"
msgstr ""

msgid "supplied penalty not square!"
msgstr ""

msgid "supplied penalty wrong dimension!"
msgstr ""

msgid "penalty column names don't match supplied area names!"
msgstr ""

msgid "Can only deal with a sphere"
msgstr ""

msgid "more knots than data in an sos term: knots ignored."
msgstr ""

msgid "more knots than data in a ds term: knots ignored."
msgstr ""

msgid "A term has fewer unique covariate combinations than specified maximum degrees of freedom"
msgstr ""

msgid "s value reduced"
msgstr ""

msgid "s value increased"
msgstr ""

msgid "No suitable s (i.e. m[2]) try increasing m[1]"
msgstr ""

msgid "s value modified to give continuous function"
msgstr ""

msgid "basis dimension reset to minimum possible"
msgstr ""

msgid "smooth objects should not have a qrc attribute."
msgstr ""

msgid "unimplemented sparse constraint type requested"
msgstr ""

msgid "handling `by' variables in smooth constructors may not work with the summation convention"
msgstr ""

msgid "Can't find by variable"
msgstr ""

msgid "factor `by' variables can not be used with matrix arguments."
msgstr ""

msgid "`by' variable must be same dimension as smooth arguments"
msgstr ""

msgid "Number of prediction and fit constraints must match"
msgstr ""

msgid "x and y must be same length"
msgstr "x의 길이와 y의 길이는 동일해야 합니다."

msgid "variable names don't match boundary names"
msgstr ""

msgid "x and y not same length"
msgstr "x의 길이가 y의 길이와 같지 않습니다."

msgid "bnd must be a list."
msgstr "bnd는 반드시 리스트(list)이어야 합니다."

msgid "lengths of k and bnd are not compatible."
msgstr "k의 길이와 bnd의 길이가 서로 일치하지 않습니다."

msgid "attempt to select non existent basis function"
msgstr ""

msgid "coefficient vector wrong length"
msgstr ""

msgid "knots must be specified for soap"
msgstr ""

msgid "soap films are bivariate only"
msgstr ""

msgid "need at least one interior knot"
msgstr "최소한 하나 이상의 내부 노트(interior knot)가 필요합니다."

msgid "can't soap smooth without a boundary"
msgstr ""

msgid "bnd must be a list of boundary loops"
msgstr ""

msgid "faulty bnd"
msgstr ""

msgid "k and bnd lengths are inconsistent"
msgstr "k와 bnd의 길이가 서로 일치하지 않습니다."

msgid "data outside soap boundary"
msgstr ""

msgid "no free coefs in sf smooth"
msgstr ""

msgid "only deals with 2D case"
msgstr "2D인 경우만을 다룰 수 있습니다."

msgid "not enough unique values to find k nearest"
msgstr ""

msgid "cubic spline only deals with 1D data"
msgstr ""

msgid "object not fully initialized"
msgstr "완전히 초기화된 객체가 아닙니다."

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