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R : Copyright 2003, The R Development Core Team
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R : Copyright 2003, The R Foundation for Statistical Computing
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Version 1.7.0 Patched (2003-05-20)
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Version 1.9.0 Under development (unstable) (2003-11-18), ISBN 3-900051-00-3
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R is free software and comes with ABSOLUTELY NO WARRANTY.
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R is free software and comes with ABSOLUTELY NO WARRANTY.
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You are welcome to redistribute it under certain conditions.
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You are welcome to redistribute it under certain conditions.
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Type `license()' or `licence()' for distribution details.
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Type 'license()' or 'licence()' for distribution details.
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R is a collaborative project with many contributors.
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R is a collaborative project with many contributors.
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Type `contributors()' for more information.
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Type 'contributors()' for more information and
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'citation()' on how to cite R in publications.
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Type `demo()' for some demos, `help()' for on-line help, or
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Type 'demo()' for some demos, 'help()' for on-line help, or
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`help.start()' for a HTML browser interface to help.
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'help.start()' for a HTML browser interface to help.
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Type `q()' to quit R.
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Type 'q()' to quit R.
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> ###-- Linear Models, basic functionality -- weights included.
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> ###-- Linear Models, basic functionality -- weights included.
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> 
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> 
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> ## From John Maindonald :
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> ## From John Maindonald :
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> roller <- data.frame(
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> roller <- data.frame(
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> 
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> 
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> (im.lm0 <- influence.measures(roller.lm0))
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> (im.lm0 <- influence.measures(roller.lm0))
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Influence measures of
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Influence measures of
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	 lm(formula = weight ~ depression, data = roller, weights = 0:9) :
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	 lm(formula = weight ~ depression, data = roller, weights = 0:9) :
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    dfb.1. dfb.dprs   dffit cov.r   cook.d    hat inf
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    dfb.1_ dfb.dprs   dffit cov.r   cook.d    hat inf
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2  -0.0530   0.0482 -0.0530 1.551 0.001635 0.1277    
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2  -0.0530   0.0482 -0.0530 1.551 0.001635 0.1277    
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3  -0.1769   0.1538 -0.1782 1.569 0.018065 0.1742    
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3  -0.1769   0.1538 -0.1782 1.569 0.018065 0.1742    
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4   0.0130  -0.0113  0.0131 1.842 0.000100 0.2613    
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4   0.0130  -0.0113  0.0131 1.842 0.000100 0.2613    
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5  -0.1174  -0.0185 -0.3370 1.049 0.055523 0.0892    
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5  -0.1174  -0.0185 -0.3370 1.049 0.055523 0.0892    
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6  -0.1031  -0.0162 -0.2960 1.229 0.045771 0.1114    
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6  -0.1031  -0.0162 -0.2960 1.229 0.045771 0.1114    
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> lm.SR <- lm(sr ~ pop15 + pop75 + dpi + ddpi, data = LifeCycleSavings)
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> lm.SR <- lm(sr ~ pop15 + pop75 + dpi + ddpi, data = LifeCycleSavings)
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> (IM <- influence.measures(lm.SR))
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> (IM <- influence.measures(lm.SR))
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Influence measures of
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Influence measures of
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	 lm(formula = sr ~ pop15 + pop75 + dpi + ddpi, data = LifeCycleSavings) :
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	 lm(formula = sr ~ pop15 + pop75 + dpi + ddpi, data = LifeCycleSavings) :
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                 dfb.1.  dfb.pp15 dfb.pp75  dfb.dpi  dfb.ddpi   dffit cov.r
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                 dfb.1_  dfb.pp15 dfb.pp75  dfb.dpi  dfb.ddpi   dffit cov.r
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Australia       0.01232 -0.010436 -0.02653  0.04534 -0.000159  0.0627 1.193
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Australia       0.01232 -0.010436 -0.02653  0.04534 -0.000159  0.0627 1.193
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Austria        -0.01005  0.005944  0.04084 -0.03672 -0.008182  0.0632 1.268
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Austria        -0.01005  0.005944  0.04084 -0.03672 -0.008182  0.0632 1.268
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Belgium        -0.06416  0.051496  0.12070 -0.03472 -0.007265  0.1878 1.176
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Belgium        -0.06416  0.051496  0.12070 -0.03472 -0.007265  0.1878 1.176
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Bolivia         0.00578 -0.012703 -0.02253  0.03185  0.040642 -0.0597 1.224
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Bolivia         0.00578 -0.012703 -0.02253  0.03185  0.040642 -0.0597 1.224
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Brazil          0.08973 -0.061626 -0.17907  0.11997  0.068457  0.2646 1.082
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Brazil          0.08973 -0.061626 -0.17907  0.11997  0.068457  0.2646 1.082