causalml/dataset/regression.py [117:132]:
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    Args:
        n (int, optional): number of observations
        p (int optional): number of covariates (>=3)
        sigma (float): standard deviation of the error term
        adj (float): no effect. added for consistency

    Returns:
        (tuple): Synthetically generated samples with the following outputs:

            - y ((n,)-array): outcome variable.
            - X ((n,p)-ndarray): independent variables.
            - w ((n,)-array): treatment flag with value 0 or 1.
            - tau ((n,)-array): individual treatment effect.
            - b ((n,)-array): expected outcome.
            - e ((n,)-array): propensity of receiving treatment.
    '''
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causalml/dataset/regression.py [183:198]:
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    Args:
        n (int, optional): number of observations
        p (int optional): number of covariates (>=3)
        sigma (float): standard deviation of the error term
        adj (float): no effect. added for consistency

    Returns:
        (tuple): Synthetically generated samples with the following outputs:

            - y ((n,)-array): outcome variable.
            - X ((n,p)-ndarray): independent variables.
            - w ((n,)-array): treatment flag with value 0 or 1.
            - tau ((n,)-array): individual treatment effect.
            - b ((n,)-array): expected outcome.
            - e ((n,)-array): propensity of receiving treatment.
    '''
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