Hi V,
You encounter this message as the function needs partitions that match the total number of observations (after stripping NaNs and Infs and zero observation weights). Lassoglm ignores any rows which have at least one NaN or Inf values. Therefore, you end up with, a lesser number of observations. However, 'cvpartition' has already partitioned the original observations, which causes a mismatch in the number of observations and this error message.
Please try removing all the missing values (and the corresponding index from the response variable 'groups') before you pass the data to 'cvpartition'.
For example, you can remove all the rows which contain a NaN value by doing the following: >> idx2Remove = any(isnan(X), 2); >> X(idx2Remove, :)= []; >> groups(idx2Remove) = [];
