logLik(m) computes the log likelihood of a cm object,
SSE(m) computes the sum of squared errors,
MSE(m) computes the mean squared error.
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other arguments (ignored)
a cm object
If a model predicts several values the error measures use the first column of predictions to compute the errors. For example, if the predictions are pr(x) and pr(z), the sum of squared errors is based on the data - pr(x).
A number measuring the goodness of fit between predictions and observed data.
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