USL-class {usl}

Class "USL" for Universal Scalability Law models

Description

This class encapsulates the Universal Scalability Law. Use the function usl to create new objects from this class.

Slots

frame

The model frame.

call

The call used to create the model.

regr

The name of the regressor variable.

resp

The name of the response variable.

coefficients

The coefficients alpha, beta and gamma of the model.

coef.std.err

The standard errors for the coefficients alpha and beta.

coef.names

A vector with the names of the coefficients.

fitted

The fitted values of the model. This is a vector.

residuals

The residuals of the model. This is a vector.

df.residual

The degrees of freedom of the model.

sigma

The residual standard deviation of the model.

limit

The scalability limit as per Amdahl.

peak

A vector with the predictor and response values of the peak.

optimal

A vector with the optimal predictor and response values.

efficiency

The efficiency, e.g. speedup per processor.

na.action

The na.action used by the model.

See Also

usl