Description Usage Arguments Details Value Author(s) References Examples

This function can be used to find the Ordinary Generalized Restricted Least Square Estimated values and corresponding scalar Mean Square Error (MSE) value.

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`formula` |
in this section interested model should be given. This should be given as a |

`r` |
is a |

`R` |
is a |

`delt` |
values of |

`data` |
an optional data frame, list or environment containing the variables in the model. If not found in |

`na.action` |
if the dataset contain |

`...` |
currently disregarded. |

Since formula has an implied intercept term, use either `y ~ x - 1`

or `y ~ 0 + x`

to remove the intercept.

In order to find the results of Ordinary Generalized Restricted Least Square Estimator, prior information should be specified.

`ogrls`

returns the Ordinary Generalized Restricted Least Square Estimated values, standard error values, t statistic values,p value and corresponding scalar MSE value.

P.Wijekoon, A.Dissanayake

Arumairajan, S. and Wijekoon, P. (2015) ] *Optimal Generalized Biased Estimator in Linear Regression Model* in *Open Journal of Statistics*, pp. 403–411

Hubert, M.H. and Wijekoon, P. (2006) *Improvement of the Liu estimator in the linear regression medel*, Chapter (4-8)

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lrmest documentation built on May 19, 2017, 6:44 a.m.

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