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:?^8&D$]�+X"%s" link not available for negative binomial family; available links are "identity", "log" and "sqrt""gradient" attribute missing"hessian" attribute missing%d missing observation deleted%d missing observations deleted%d row with zero weights not counted%d rows with zero weights not counted%s does not have both 'qr' and 'y' components'Sigma' is not positive definite'W' is not positive definite'X' must be a numeric or complex matrix'anova' is not available for PQL fits'breaks' do not cover the data'breaks' must be strictly increasing'c' must be at least 1.548 and has been ignored'center' is not the right length'coef' must define a contrast, i.e., sum to 0'coef' must have same length as 'contrast.obj''data' has no 'terms' attribute'densfun' must be supplied as a function or name'dropterm' not implemented for "mlm" fits'family' not recognized'h' must be strictly positive'init' method is unknown'lqs' failed: all the samples were singular'method' is unknown'nbins' must result in a positive integer'newdata' is not of the right length'nu' must exceed 2'object' has no 'call' component.  Updating not possible'prior' is of incorrect length'ps' must be at least 'p''quantile' must be at least %d'quantile' must be at most %d'rlm' failed to converge in %d steps'start' is not of the correct length'start' must be a named list'start' specifies names which are not arguments to 'densfun''theta' must be given'theta' must be specified'uin' is too large to fit plot in'use.start' cannot be used with R's version of 'glm''x' and 'y' must have the same number of rows'x' contains missing or infinite values'x' has length zero'x' is not a matrix'x' is probably collinear'x' is singular: singular fits are not implemented in 'rlm''x' must be a non-empty numeric vector'y' must be a matrix0 df terms are changing AICAIC is -infinity for this model, so 'stepAIC' cannot proceedAIC is not defined for this model, so 'stepAIC' cannot proceedAIC undefined for REML fitExponential values must be >= 0F test assumes 'quasi%s' familyInfs not allowed in 'd'Initial estimate: %sInitial fit:Initial value for 'theta': %fIter. %d Alpha: %sParameter:Probable convergence failureRe-fitting to get HessianResponse variable must be positive after additionsToo many combinations (%.3g) for nsamp = "exact"Too many samples (%.3g)Waiting for profiling to be done...Weibull values must be > 0all frequencies are zeroall variables must be factorsalternation limit reachedan initial configuration must be supplied if there are NAs in 'd'an initial configuration must be supplied with NA/Infs in 'd'an intercept is needed and assumedanova is not implemented for a single "polr" objectat least %d cases are neededat least 3 distinct 'x' values are neededat least one column has IQR 0attempt to find suitable starting values failedbandwidths must be strictly positivebiplot is only possible if nf >= 2cannot estimate scale: MAD is zero for this samplecannot have leave-one-out CV with 'newdata'cannot use leave-one-out CV with method %scolumns of 'contrast.obj' must define a contrast (sum to zero)data vectors must be the same lengthdesign appears to be rank-deficient, so dropping some coefsdim(W) is not correctdistances must be result of 'dist' or a square matrixdowneach element of '%s' must be logicalempty row or column in tableestimate truncated at zeroextra arguments discardedfactors in 'newdata' do not match those for 'object'formula specifies no responsefrequency table is %d-dimensionalgamma values must be >= 0group %s is emptygroups %s are emptygroup means are numerically identicalhigher-way table requested.  Only 2-way allowedincompatible argumentsinfinite, NA or NaN values in 'x'initial configuration must be completeinvalid 'prior'invalid 'test.vec'invalid initial configurationinvalid length(d)invalid number of levelsinvalid row(x)invalid sizeinvalid table specificationiteration %diteration limit reachediteration limit reached near 'x = %f'length of 'weights' must equal number of observationslength of 'wt' must equal number of observationsminimum occurred at one end of the rangemissing or infinite values are not allowedmissing or infinite values in 'x'missing or infinite values in the data are not allowedmissing values are not allowedmodels were not all fitted to the same size of datasetneed positive values to fit a log-Normalnegative 'weights' valuenegative or non-integer entries in tablenegative values not allowed for the negative binomial familynegative weights not allowedno 'addterm' method implemented for "mlm" modelsno positive weightsno solution in the specified range of bandwidthsno terms in scopeno terms in scope for adding to objectnot a "polr" objectnot all objects are of class "negbin"not all objects are of class "polr"not enough non-missing datanrow(x) and length(grouping) are differentnumber of rows in use has changed: remove missing values?object not of class "lda"object not of class "qda"only %d set, so all sets will be triedonly %d sets, so all sets will be triedonly 'REML = FALSE' is implementedonly Chi-squared LR tests are implementedonly finite values are allowed in 'lims'optimization failedpackage 'nlme' is essentialprofiling has found a better solution, so original fit had not convergedrank = 0: variables are numerically constantrank deficiency in group %sregression apparently linearresponse must be a factorresponse must have 3 or more levelsresponse variable must be positivescope is not a subset of term labelssome group is too small for 'qda'some of ... do not matchsupplying pars for the %s distribution is not supportedtests made without re-estimating 'theta'the contrast defined is empty (has no TRUE elements)theta =theta.ml: itertrying + %strying - %suneven breaks with 'prob = FALSE' will give a misleading plotunimplemented method: %sunsupported distributionupusing the %d/%d row from a combined fitusing the %d/%d rows from a combined fitvariable %s appears to be constant within groupsvariables %s appear to be constant within groupsvariable names in 'newdata' do not match those in 'object'variables are collinearweighted fits are not supportedwrong number of variableszero or negative distance between objects %d and %dProject-Id-Version: MASS 7.3-60.1
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"%s" link not available for negative binomial family; available links are "identity", "log" and "sqrt""gradient" attribute missing"hessian" attribute missing%d missing observation deleted%d missing observations deleted%d row with zero weights not counted%d rows with zero weights not counted%s does not have both ‘qr’ and ‘y’ components‘Sigma’ is not positive definite‘W’ is not positive definite‘X’ must be a numeric or complex matrix‘anova’ is not available for PQL fits‘breaks’ do not cover the data‘breaks’ must be strictly increasing‘c’ must be at least 1.548 and has been ignored‘center’ is not the right length‘coef’ must define a contrast, i.e., sum to 0‘coef’ must have same length as ‘contrast.obj’‘data’ has no ‘terms’ attribute‘densfun’ must be supplied as a function or name‘dropterm’ not implemented for "mlm" fits‘family’ not recognized‘h’ must be strictly positive‘init’ method is unknown‘lqs’ failed: all the samples were singular‘method’ is unknown‘nbins’ must result in a positive integer‘newdata’ is not of the right length‘nu’ must exceed 2‘object’ has no ‘call’ component.  Updating not possible‘prior’ is of incorrect length‘ps’ must be at least ‘p’‘quantile’ must be at least %d‘quantile’ must be at most %d‘rlm’ failed to converge in %d steps‘start’ is not of the correct length‘start’ must be a named list‘start’ specifies names which are not arguments to ‘densfun’‘theta’ must be given‘theta’ must be specified‘uin’ is too large to fit plot in‘use.start’ cannot be used with R's version of ‘glm’‘x’ and ‘y’ must have the same number of rows‘x’ contains missing or infinite values‘x’ has length zero‘x’ is not a matrix‘x’ is probably collinear‘x’ is singular: singular fits are not implemented in ‘rlm’‘x’ must be a non-empty numeric vector‘y’ must be a matrix0 df terms are changing AICAIC is -infinity for this model, so ‘stepAIC’ cannot proceedAIC is not defined for this model, so ‘stepAIC’ cannot proceedAIC undefined for REML fitExponential values must be >= 0F test assumes ‘quasi%s’ familyInfs not allowed in ‘d’Initial estimate: %sInitial fit:Initial value for ‘theta’: %fIter. %d Alpha: %sParameter:Probable convergence failureRe-fitting to get HessianResponse variable must be positive after additionsToo many combinations (%.3g) for nsamp = "exact"Too many samples (%.3g)Waiting for profiling to be done...Weibull values must be > 0all frequencies are zeroall variables must be factorsalternation limit reachedan initial configuration must be supplied if there are NAs in ‘d’an initial configuration must be supplied with NA/Infs in ‘d’an intercept is needed and assumedanova is not implemented for a single "polr" objectat least %d cases are neededat least 3 distinct ‘x’ values are neededat least one column has IQR 0attempt to find suitable starting values failedbandwidths must be strictly positivebiplot is only possible if nf >= 2cannot estimate scale: MAD is zero for this samplecannot have leave-one-out CV with ‘newdata’cannot use leave-one-out CV with method %scolumns of ‘contrast.obj’ must define a contrast (sum to zero)data vectors must be the same lengthdesign appears to be rank-deficient, so dropping some coefsdim(W) is not correctdistances must be result of ‘dist’ or a square matrixdowneach element of ‘%s’ must be logicalempty row or column in tableestimate truncated at zeroextra arguments discardedfactors in ‘newdata’ do not match those for ‘object’formula specifies no responsefrequency table is %d-dimensionalgamma values must be >= 0group %s is emptygroups %s are emptygroup means are numerically identicalhigher-way table requested.  Only 2-way allowedincompatible argumentsinfinite, NA or NaN values in ‘x’initial configuration must be completeinvalid ‘prior’invalid ‘test.vec’invalid initial configurationinvalid length(d)invalid number of levelsinvalid row(x)invalid sizeinvalid table specificationiteration %diteration limit reachediteration limit reached near ‘x = %f’length of ‘weights’ must equal number of observationslength of ‘wt’ must equal number of observationsminimum occurred at one end of the rangemissing or infinite values are not allowedmissing or infinite values in ‘x’missing or infinite values in the data are not allowedmissing values are not allowedmodels were not all fitted to the same size of datasetneed positive values to fit a log-Normalnegative ‘weights’ valuenegative or non-integer entries in tablenegative values not allowed for the negative binomial familynegative weights not allowedno ‘addterm’ method implemented for "mlm" modelsno positive weightsno solution in the specified range of bandwidthsno terms in scopeno terms in scope for adding to objectnot a "polr" objectnot all objects are of class "negbin"not all objects are of class "polr"not enough non-missing datanrow(x) and length(grouping) are differentnumber of rows in use has changed: remove missing values?object not of class "lda"object not of class "qda"only %d set, so all sets will be triedonly %d sets, so all sets will be triedonly ‘REML = FALSE’ is implementedonly Chi-squared LR tests are implementedonly finite values are allowed in ‘lims’optimization failedpackage ‘nlme’ is essentialprofiling has found a better solution, so original fit had not convergedrank = 0: variables are numerically constantrank deficiency in group %sregression apparently linearresponse must be a factorresponse must have 3 or more levelsresponse variable must be positivescope is not a subset of term labelssome group is too small for ‘qda’some of ... do not matchsupplying pars for the %s distribution is not supportedtests made without re-estimating ‘theta’the contrast defined is empty (has no TRUE elements)theta =theta.ml: itertrying + %strying - %suneven breaks with ‘prob = FALSE’ will give a misleading plotunimplemented method: %sunsupported distributionupusing the %d/%d row from a combined fitusing the %d/%d rows from a combined fitvariable %s appears to be constant within groupsvariables %s appear to be constant within groupsvariable names in ‘newdata’ do not match those in ‘object’variables are collinearweighted fits are not supportedwrong number of variableszero or negative distance between objects %d and %d