Data for generating residual vs regressor plot.
Examples
model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
ols_prep_rvsrplot_data(model)
#> $np
#> [1] 4
#>
#> $dat
#> disp hp wt qsec
#> Mazda RX4 160.0 110 2.620 16.46
#> Mazda RX4 Wag 160.0 110 2.875 17.02
#> Datsun 710 108.0 93 2.320 18.61
#> Hornet 4 Drive 258.0 110 3.215 19.44
#> Hornet Sportabout 360.0 175 3.440 17.02
#> Valiant 225.0 105 3.460 20.22
#> Duster 360 360.0 245 3.570 15.84
#> Merc 240D 146.7 62 3.190 20.00
#> Merc 230 140.8 95 3.150 22.90
#> Merc 280 167.6 123 3.440 18.30
#> Merc 280C 167.6 123 3.440 18.90
#> Merc 450SE 275.8 180 4.070 17.40
#> Merc 450SL 275.8 180 3.730 17.60
#> Merc 450SLC 275.8 180 3.780 18.00
#> Cadillac Fleetwood 472.0 205 5.250 17.98
#> Lincoln Continental 460.0 215 5.424 17.82
#> Chrysler Imperial 440.0 230 5.345 17.42
#> Fiat 128 78.7 66 2.200 19.47
#> Honda Civic 75.7 52 1.615 18.52
#> Toyota Corolla 71.1 65 1.835 19.90
#> Toyota Corona 120.1 97 2.465 20.01
#> Dodge Challenger 318.0 150 3.520 16.87
#> AMC Javelin 304.0 150 3.435 17.30
#> Camaro Z28 350.0 245 3.840 15.41
#> Pontiac Firebird 400.0 175 3.845 17.05
#> Fiat X1-9 79.0 66 1.935 18.90
#> Porsche 914-2 120.3 91 2.140 16.70
#> Lotus Europa 95.1 113 1.513 16.90
#> Ford Pantera L 351.0 264 3.170 14.50
#> Ferrari Dino 145.0 175 2.770 15.50
#> Maserati Bora 301.0 335 3.570 14.60
#> Volvo 142E 121.0 109 2.780 18.60
#>
#> $pnames
#> [1] "disp" "hp" "wt" "qsec"
#>