MV 1 Input structure missing.
MV 2 Input structure of wrong type.
MV 3 Input structure has no values.
MV 4 Input structure has some missing values.
MV 5 Input structure has inconsistent number of values.
MV 6 Input factor has inconsistent number of levels.
MV 7 Output structure of wrong type.
MV 8 Output structure has inconsistent size.
MV 9 Output structure has inconsistent number of rows.
MV 10 Output structure has inconsistent number of columns.
MV 11 Failure in unsymmetric eigenvalue algorithm.
MV 12 Matrix has complex latent roots but imaginary part not saved.
MV 14 Latent root computation needed more than 30 iterations.
MV 15 Matrix not square or symmetric.
MV 16 Numbers of groups requested not in descending order.
MV 17 Values of variates must be binary for maximal predictive cluster.
MV 18 Determinant is zero.
MV 19 Invalid input structure.
MV 20 Invalid values in distance matrix.
MV 21 Invalid values in similarity matrix.
MV 22 Too many factors specified.
MV 23 Number of factors specified is too low.
MV 24 Invalid input variables.
MV 25 Failure to calculate factor score coefficients.
MV 26 VARIABLE code is not in the levels of the CHARACTER factor.
MV 27 VARIABLE code is a text but the CHARACTER factor has no labels.
MV 28 NA code is not in the levels of the CHARACTER factor.
MV 29 NA code is a text but the CHARACTER factor has no labels.
MV 30 OBJECT code is not in the levels of the GROUPS factor.
MV 31 OBJECT code is a text but the GROUPS factor has no labels.
MV 32 OBJECT code does not specify a valid unit.
MV 33 OBJECT code is a text but there are no unit labels.
MV 34 No taxa in group specified by OBJECT.
MV 35 Unit specified by OBJECT is excluded by a restriction.