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y`g+#�h�9%.�MU�wX�s�J/<�~���G�k��4H�I6;^�(�	Ct23�Nj5Sx@�m��:�R)Y�WZAP*%s$%s() not found'%s' absent'.' in formula and no 'data' argument'control' must be a list'd' must be a nonempty numeric vector'data' argument is of the wrong type'delta' must be finite and > 0'dir' is not a numeric vector of the correct length'f' must be finite and > 0'fn' is not a function'getElement' applies only to named lists'gr' is not a function'gradient' must be a numeric matrix of dimension (%d,%d)'iter' must be finite and >= 0'lower' and 'upper' must be numeric vectors'lowerb' and 'upperb' must be numeric vectors'm' must be a list'maxit' is not an integer'maxiter' must be positive'ndeps' is of the wrong length'parscale' is of the wrong length'rho' must be an environment'rho' should be an environment'scal' matrix is not positive-definite'scal' must be a square, real matrix'specials' must be NULL or a character vector'theta' should be of type character'x' is NULL'x' is empty'xmin' not less than 'xmax'*** unknown error message (msg = %d) in nlm()
*** should not happen!-Inf replaced by maximally negative valueArgument %s must be a nonempty numeric vectorArgument Sx must be numeric vector one shorter than m[]Argument m must be numericBurg's algorithm failed to find partial correlationCurrent iterate is probably solution.
Either x is an approximate local minimum of the function,
the function is too non-linear for this algorithm,
or steptol is too large.
Function '%s' is not in the derivatives tableHessian function must return a square numeric matrix of order %dInvalid vmethodIteration limit exceeded.  Algorithm failed.
Last global step failed to locate a point lower than x.
Maximum step size exceeded 5 consecutive times.
Either the function is unbounded below,
becomes asymptotic to a finite value
from above in some direction,
or stepmx is too small.
Missing value or an infinity produced when evaluating the modelNA in probability vectorNA replaced by maximum positive valueNA value for '%s' is not allowedNA/Inf replaced by maximum positive valueNAs producedNaNs producedNon-numeric argument to mathematical functionRelative gradient close to zero.
Rf_divset: alg = %d must be 1, 2, 3, or 4Singular matrix in ldetSingular matrix in qr_solveSuccessive iterates within tolerance.
Value %g out of range (0, 1)When Hessian defined must also have gradient definedalgorithm did not convergeapprox(): attempted to interpolate NA valuesapprox(): invalid f valueapprox(): invalid interpolation methodargument %s must be a numeric vector of length 1 or length %dargument is not a valid modelattempt to minimize non-functionbad Starma structbandwidth/span of running medians is larger than ncan only transform 100 pars in arima0complex variables are not currently allowed in model matricesconflicting parameter lengthsconvergeddistance(): invalid distancedistance(): invalid pdo not know how many casesduplicated name '%s' in data frame using '.'environment 'rho' must contain a numeric vector '.par' of length %dfcn produced mode %d, length %d - wanted mode %d, length %dfft factorization errorforkal error code %dformula expectedfunction value caching for optimization is seriously confusedgradient function must return a numeric vector of length %dgradient in optim evaluated to length %d not %dgradient supplied is of the wrong length or mode, so ignoredhessian supplied is of the wrong length or mode, so ignoredincompatible dimensionsinconsistent degrees of freedom and dimensionincorrect specification of 'table' or 'start'invalid '%s' argumentinvalid '%s' valueinvalid 'type' (%s) of argumentinvalid 'use' (computational method)invalid NA value in parameterinvalid argument typeinvalid argumentsinvalid end-rule for running median of 3: %dinvalid expression in '%s'invalid extra variable namesinvalid extra variablesinvalid factorsinvalid first argument 'n'invalid form in unary minus checkinvalid formula in 'update'invalid function value in 'nlm' optimizerinvalid function value in 'optimize'invalid function value in 'zeroin'invalid gradient tolerance in nlminvalid iteration limit in nlminvalid model formulainvalid model formula in EncodeVarsinvalid model formula in ExtractVarsinvalid model frameinvalid parameter lengthinvalid parameter typeinvalid power in formulainvalid result from na.actioninvalid second argument 'size'invalid taginvalid term in model formulainvalid type (%s) for variable '%s'invalid type for eval_check_storeinvalid value of lag.maxinvalid variable namesinvalid variableslength(m) must be at least twom must be a listmatrix would require %.0g columnsmaximum supported lag is 350minimization function has no good digits in nlmmissing observations in cov/cormissing value in last %d observationsmissing value in parametern must be at least twonlm is inefficient for 1-d problemsno analytic Hessian to check in nlm!no analytic gradient to check in nlm!no complete element pairsno factorsno input has determined the number of casesnon-finite value supplied by 'nlm'non-finite value supplied by optimnon-numeric argumentnon-positive number of parameters in nlmnot all arguments have the same lengthnumber of iterations exceeded maximum of %dnumber of variables != number of variable namesnumeric parameter expectedobjective function in optim evaluates to length %d not 1only 2500 rows are allowed for sm.method="spline"only the first element is used as variable nameoverlong names in '%s'probabilities outside [0,1] in qansari()probable coding error in analytic Hessianprobable coding error in analytic gradientproblem with term %d in model.matrix: no columns are assignedrcont2 [%d,%d]: exp underflow to 0; algorithm failuresingular gradientspan is too smallstarma error code %dstep factor %g reduced below 'minFactor' of %gterm %d would require %.0g columnsterm names will be truncatedthe response appeared on the right-hand side and was droppedthe standard deviation is zerothis should not happentreating non-finite values as NAunknown 'method'use of NULL environment is defunctvariable %d has no levelsvariable '%s' is integer, not numericvariable '%s' is not numericvariable lengths differ (found for '%s')variable lengths differ (found for variable %d)variable must be a character stringvariables of type '%s' are not allowed in model matricesvector-valued (multivariate) series requiredProject-Id-Version: R 2.4.0
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PO-Revision-Date: 2023-09-18 03:05+0000
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%s$%s()不存在需要设定'%s'公式里有'.'，而没有'data'这一参数'control'的值必需为列表'd'必需是非空数字向量'data'参数类型有错误'delta'必需是正数'dir'这个数字向量的长度不正确'f'必需是正数'fn'不是函数'getElement'只适用于带名列表'gr'不是函数'gradient'必需是一个维数为(%d,%d)的数值矩阵'iter'必需是正数'lower'和'upper'必需为数字向量'lowerb'和'upperb'必需为数字向量'm'的值必需是列表'maxit'不是整数'maxiter'必需是正数'ndeps'长度有误'parscale'的长度有误'rho'必需是环境'rho'必需为环境'scal'不是正定矩阵'scal'必需是正文形的实数矩阵'specials'的值要么是NULL要么是字符向量'theta'的类型必需是字符'x'为NULL'x'是空的'xmin'不能小于xmax*** nlm()产生了不知是什么的错误信息(msg = %d) 。这不应该发生!-Inf被换成最大的负值参数%s必需为非空数字向量参数Sx必需是长度比m[]小一的数值向量参数m必需为数值Burg的算法没有能够找到偏相关数当前的重复值很可能就已经是答案了.
要么x已经是函数的本地最小值，要么这个函数非线性太强，要么steptol设得太大。
微分表里没有这个函数'%s'Hessian函数必需返回一个度数为%d的正方形数值矩阵vmethod无效超过了迭代极限。算法失败.
最后一步的整体优化没有能找到比x值要小的一个点.
最大步骤超过了5次。
这个函数要么没有下边界,
从上边界达到了渐近有限值
要么是stepmx设得太小。
在计算模型的时候产生了缺省值或无限值机率向量中有NANA被换成最大的正值'%s'里不可有NA值NA/Inf被换成最大的正值产生了NA产生了NaNs数学函数中用了非数值参数相对梯度离零太近.
Rf_divset: alg = %d其值应该是1, 2, 3, 或4ldet里出现了奇异矩阵gr_solve里出现了奇异矩阵在容错范围内连续迭代.
%g值出界在(0, 1)外如果Hessian有定义的话梯度也必需有定义算法没有收敛approx(): 不能内插NA值approx(): f值无效approx(): 内插方法无效参数%s必需为长度为一或长度为%d的数字向量参数不是正确的模型不能将非函数最小化Starma结构不正确移动中位数的帶寬/跨距的值不能大于narima0里只能转换100个参数模型矩阵里目前不能有复数参数的长度自相矛盾收敛了distance()：距离值无效distance(): p值无效案例数目不清在数据框里用'.'时不能有重复的名称’%s''rho'环境必包含长度为%d的数字向量'.par'fcn运行结果的模式为%d , 长度为%d - 但正确的模式应该是%d，长度为%dfft因数分解错误forkal出错编号%d需要公式最佳化时函数值暫存器出了问题梯度函数必需返回长度为%d的数字向量optim梯度长度被评估为%d，而不是%d梯度的长度或其状态有误，因此忽略不用海森的长度有误或其状态有误，因此忽略不用维度不匹配自由度和维度不相符'table'或'start'的设定不正确'%s'参数无效'%s'值无效'type'(%s)参数无效'use'无效(计算方法)参数里的NA值无效参数类型无效参数无效三移动中位数的结尾规则出了错: %d'%s'的表达式无效额外变量名称无效額外变量无效因子无效第一参数'n'无效检查一进列减号时发现形式无效'update'里的公式无效'nlm'最佳化器里的函数值无效'optimize'里的函数值无效'zeroin'函数值无效nlm里的梯度容错无效nlm里的迭代极限无效模型公式无效EncodeVars中的模型公式无效ExtractVars里的模型公式无效模型框无效参数长度无效参数类型无效公式里的幂无效na.action的结果有错误第二参数'size'无效标签无效模型公式里有错误的项参数'%2$s'的类型(%1$s)无效eval_check_store的类型无效lag.max的值无效变量名称无效变量无效length(m)的值必需为二m必需为列表矩阵需要%.0g个列滞后不能大于350nlm最小化函数找不到可适用的数字cov/cor中有缺失值最后%d个观测值里出现了缺省值参数里不能有缺失值n至少需要是二用nlm来解决一维问题效率不高nlm里没有可查的分析海森!nlm里没有可查的分析梯度!不存在完的一对非因子无法用输入来确定个案数目'nlm'回复了无限值optim回覆了无限值非数值参数nlm参数不能是负的不是所有的参数都一样长循环次数超过了%d这个最大值变量数目不等于变量名称数目需要数值参数optim内的目标函数长度被评估为%d，而不是一sm.method="spline"最多只能算2500行只用了第一个元素作为变量名'%s'里的名称太长qansari()里的概率值在[0,1]范围外分析海森的代码很有可能出错分析梯度的代码很有可能出错模型矩阵的%d项有问题: 没有指定的列rcont2 [%d,%d]: exp下益到0； 算法失败奇异梯度跨距太小starma出错编号%d算法的步因素%g的大小被减少到小于%g的'minFactor'值%d项需要%.0g个列项名称太长，被缩短了在公式右手的反应忽略不用标准差为零这不应该发生所有无限值都作为NA来处理没有这样的'method'NULL环境不再有用了变量%d没有因子层变量'%s'应该为整数，不能是数值变量'%s'不是数值变量的长度不一样('%s')变量的长度不一样(变量%d)变量必需是字符串模型矩阵里不能有类型为'%s'的参数需要向量值系列(多变量)