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.