This simulated data list is for demonstration.

A list containing

`Y` |
a 92 by 5 outcome/feature matrix, each row is a sample, and each column is an outcome/feature variable, with potential missing values (NAs). |

`X` |
a 92 by 2 covariate matrix, each row is a sample, and each column is a covariate with the first column being 1s for the intercept. In this example, we simulated the covariates to be common for all the outcomes and would estimate the common/averaged effects for all outcomes. If a covariate is specific for the k-th outcome, one may set all the values corresponding to the other outcomes to be zero. |

`id` |
a vector of cluster/batch ID, matching with the rows of Y and X. |

1 |

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