Fires
(Package: bestglm) :
Forest fires in Montesinho natural park. Standardized inputs.
The forest fire data were collected during January 2000 to December 2003 for fires in the Montesinho natural park located in the northeast region of Portugal. The response variable of interest was area burned in ha. When the area burned as less than one-tenth of a hectare, the response variable as set to zero. In all there were 517 fires and 247 of them recorded as zero. The region was divided into a 10-by-10 grid with coordinates X and Y running from 1 to 9. The categorical variable xyarea indicates the region in this grid for the fire.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: Fires
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znuclear
(Package: bestglm) :
Nuclear plant data. Quantitative inputs logged and standardized.
Data on 32 nuclear power plants. The response variable is cost and there are ten covariates.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: znuclear
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Detroit
(Package: bestglm) :
Detroit homicide data for 1961-73 used in the book Subset Regression by A.J. Miller
For convenience we have labelled the input variables 1 through 11 to be consistent with the notation used in Miller (2002). Only the first 11 variables were used in Miller's analyses. The best fitting subset regression with these 11 variables, uses only 3 inputs and has a residual sum of squares of 6.77 while using forward selection produces a best fit with 3 inputs with residual sum of squares 21.19. Backward selection and stagewise methods produce similar results. It is remarkable that there is such a big difference. Note that the usual forward and backward selection algorithms may fail since the linear regression using 11 variables gives essentially a perfect fit.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: Detroit
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This dataset was derived from the R built-in dataset 'airquality' by adding date information and deleting all missing values. This dataset is referred to as 'environmental' in Cleveland (1993).
● Data Source:
CranContrib
● Keywords: datasets
● Alias: AirQuality
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SAheart
(Package: bestglm) :
South African Hearth Disease Data
A retrospective sample of males in a heart-disease high-risk region of the Western Cape, South Africa.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: SAheart
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Shao
(Package: bestglm) :
Simulated Regression Data
Data a simulation study reported by Shao (1993, Table 1). The linear regression model Shao (1993, Table 2) reported 4 simulation experiments using 4 different values for the regression coefficients:
● Data Source:
CranContrib
● Keywords: datasets
● Alias: Shao
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zprostate
(Package: bestglm) :
Prostate cancer data. Standardized.
Data with 8 inputs and one output used to illustrate the prediction problem and regression in the textbook of Hastie, Tibshirani and Freedman (2009).
● Data Source:
CranContrib
● Keywords: datasets
● Alias: zprostate
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manpower
(Package: bestglm) :
Hospital manpower data
The goal of this study is to predict the manpower requirement as given in the output variable Hours given the five other input variables. Data is from Table 3.8 of Myers (1990). See also Examples 3.8, 4.5, 8.8.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: manpower
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MontesinhoFires
(Package: bestglm) :
Forest fires in Montesinho natural park
The forest fire data were collected during January 2000 to December 2003 for fires in the Montesinho natural park located in the northeast region of Portugal. The response variable of interest was area burned in ha. When the area burned as less than one-tenth of a hectare, the response variable as set to zero. In all there were 517 fires and 247 of them recorded as zero. The region was divided into a 10-by-10 grid with coordinates X and Y running from 1 to 9.
● Data Source:
CranContrib
● Keywords: datasets
● Alias: MontesinhoFires
●
0 images
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providing 
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