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'scope' is not a subset of term labels'softmax = TRUE' requires at least two response categoriesanova is not implemented for a single "multinom" objectdims of 'x' and 'y' must matchentropy fit only for logistic unitsgroup %s is emptygroups %s are emptyinappropriate fit for classincorrect length of 'mask'invalid weights vectormissing values in 'x'missing values in 'y'models were not all fitted to the same size of datasetncol(offset) is wrongneed two or more classes to fit a multinom modelno terms in 'scope' for adding to objectno weights to fitnot a "multinom" fitnot a legitimate neural net fitnot all objects are of class "multinom"nrows of 'x' and 'y' must matchnumber of rows in use has changed: remove missing values?object not of class "nnet"some case has no observationstoo many (%d) weightsweights vector of incorrect lengthProject-Id-Version: nnet 7.3-16
PO-Revision-Date: 2021-04-17 09:54
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‘scope’ is not a subset of term labels‘softmax = TRUE’ requires at least two response categoriesanova is not implemented for a single "multinom" objectdims of ‘x’ and ‘y’ must matchentropy fit only for logistic unitsgroup %s is emptygroups %s are emptyinappropriate fit for classincorrect length of ‘mask’invalid weights vectormissing values in ‘x’missing values in ‘y’models were not all fitted to the same size of datasetncol(offset) is wrongneed two or more classes to fit a multinom modelno terms in ‘scope’ for adding to objectno weights to fitnot a "multinom" fitnot a legitimate neural net fitnot all objects are of class "multinom"nrows of ‘x’ and ‘y’ must matchnumber of rows in use has changed: remove missing values?object not of class "nnet"some case has no observationstoo many (%d) weightsweights vector of incorrect length