predict.lple: predict a lple object
In statapps/lplb: Local Partial Likelihood Bootstrap (LPLB) test

Compute fitted values and prediction error for a model fitted by lple

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## S3 method for class 'lple'
## S3 method for class 'lple'
predict(object, newdata, newy=NULL)

`object`	the results of a lple fit.
`newdata`	Optional new data at which to do predictions. If absent, predictions are for the dataframe used in the original fit.

predict.lple is called to predict object from the lple model lple.

The default method, predict has its own help page. Use methods("predict") to get all the methods for the predict generic.

predict.lple returns a list of predicted values, prediction error and residuals.

`lp`	linear predictor of beta(w)*Z, where beta(w) is the fitted regression coefficient and Z is covariance matrix.
`risk`	risk score, exp(lp). When new y is provided, both lp and risk will be ordered by survival time of the new y.
`residuals`	martingale residuals of the prediction, if available.
`pe.mres`	prediction error based on martingale residual, if both new data and new y is provided.
`cumhaz`	cumulative hzard function.
`time`	time for cumulative hazard function. Time from new y will be used is provided