I did not mean that all timepoints/groups/BCS/sex categories have only one subject, but it looks like there may be some that have only one or two subjects (not enough replication). Sample-metadata_cats_all_wo_blanks_def_AC.tsv (4.9 KB)Ĭould you please further explain that “It looks like you have one time point per subject per Group/BCS/sex category.” Several subjects belong to the same group and have the same sex and BCS, I think I am missing something. The variables are not confounded among “group”, “BCS” and “sex”, not quite sure what I am missing. I attach here the metadata I am using for this analysis. However, when putting together the three variables I get the error. If I run the command without the Group variable it works perfectly, and if I run it without the BCS and sex variables it also works. –o-visualization …/LME_FD_obs-otus_group-BCS-sex.qzv

–m-metadata-file sample-metadata_cats_all_wo_blanks_def_AC.tsv Removing potential covariates may resolve this issue.

This may occur if input variables correlate closely or exhibit zero variance. Linear model will not compute due to singular matrix error. I am trying to use the longitudinal plugin and I am getting as I have seen a common error, however, I cannot understand why I am getting it.

Singular matrix