1. A method for generating extended data for a pattern-recognition model used in electronic prognostication for a computer system, the method comprising: for each sensor in a set of sensors, determining a regression coefficient between training data from the sensor and training data from each of the other sensors in the set of sensors; and for each sensor in the set of sensors, stretching the training data from each of the other sensors by a predetermined amount; and generating extended data for the sensor based on the stretched training data for each of the other sensors and the regression coefficients between training data from the sensor and training data from each of the other sensors.