Predicted values based on the bidimensional regressional model object.
Usage
# S3 method for lm2
predict(object, newdata, ...)
Arguments
- object
an object of class "lm2"
- newdata
An optional two column data frame with independent variables. If omitted, the fitted values are used.
- ...
optional arguments
Examples
lm2euc <- lm2(depV1+depV2~indepV1+indepV2, NakayaData, transformation = 'Euclidean')
predict(lm2euc, NakayaData[, 3:4])
#> [,1] [,2]
#> [1,] -0.10714634 0.7355034
#> [2,] 0.76751919 0.1777630
#> [3,] 0.71377356 1.5461024
#> [4,] 0.97343384 0.8287322
#> [5,] 2.32044682 -0.1858853
#> [6,] 3.66895537 -0.8335199
#> [7,] -1.10962809 1.7756851
#> [8,] -1.16310065 1.2187896
#> [9,] -1.63076109 1.8346422
#> [10,] 0.11495606 -0.4178982
#> [11,] 0.90314950 -0.6598266
#> [12,] 1.82560030 -0.8248245
#> [13,] -0.07100152 -0.8971433
#> [14,] 1.60705225 -1.8426904
#> [15,] -0.19372050 -2.8581066
#> [16,] 0.62693595 -2.6027024
#> [17,] 2.68465593 0.8439124
#> [18,] 3.51168672 0.2106835
#> [19,] 2.11119272 1.9577835