assign $y of predict() function output to variable

Hello R-help

Below is the output from the predict() function. How can I assign $y  
to a
variable.

Newvar <- predict(function,df2)$y
David.
>
> $x
>        V1
> 1   36.28
> 2   34.73
> 3   33.74
> 4   69.87
> 5   58.88
> 6   89.44
> 7   43.97
> 8   41.94
> 9   33.34
> 10  38.47
> 11  35.16
> 12  42.94
> 13  46.76
> 14  53.24
> 15  52.43
> 16  50.40
> 17  34.42
> 18  33.22
> 19  33.24
> 20  39.60
> 21  39.32
> 22  44.71
> 23  54.03
> 24  47.48
> 25  35.42
> 26  34.78
> 27  34.31
> 28  78.60
> 29  74.43
> 30 120.80
> 31  48.35
> 32  45.40
> 33  33.95
> 34  38.27
> 35  35.16
> 36  47.10
> 37  48.10
> 38  51.79
> 39  62.10
> 40  50.95
> 41  35.75
> 42  34.62
> 43  57.99
> 44  45.09
> 45  43.93
> 46  60.98
> 47  66.64
> 48  59.84
> 49  64.81
> 50  77.52
> 51 113.40
> 52  88.12
> 53  80.36
> 54 118.80
> 55 113.00
> 56 169.50
> 57  53.04
> 58  63.39
> 59  96.04
> 60 109.80
> 61  83.74
> 62 133.10
> 63 122.30
> 64 168.30
> 65  61.89
> 66  58.58
> 67  75.98
> 68  87.66
> 69  84.01
> 70 132.80
> 71 135.60
> 72 127.70
> $y
>           V1
> 1   2.676489
> 2   2.070236
> 3   1.682677
> 4  15.853686
> 5  11.523969
> 6  23.030727
> 7   5.678122
> 8   4.886343
> 9   1.526004
> 10  3.532138
> 11  2.238484
> 12  5.276394
> 13  6.766605
> 14  9.301601
> 15  8.983873
> 16  8.188838
> 17  1.948910
> 18  1.478992
> 19  1.486828
> 20  3.973300
> 21  3.864004
> 22  5.966758
> 23  9.611797
> 24  7.047672
> 25  2.340192
> 26  2.089803
> 27  1.905852
> 28 19.180440
> 29 17.611545
> 30 32.357421
> 31  7.387438
> 32  6.235922
> 33  1.764910
> 34  3.454035
> 35  2.238484
> 36  6.899319
> 37  7.289786
> 38  8.733040
> 39 12.798111
> 40  8.404081
> 41  2.469258
> 42  2.027188
> 43 11.172123
> 44  6.114989
> 45  5.662521
> 46 12.354907
> 47 14.589716
> 48 11.903750
> 49 13.869002
> 50 18.778316
> 51 30.387489
> 52 22.579871
> 53 19.828694
> 54 31.838458
> 55 30.277085
> 56 42.186268
> 57  9.223121
> 58 13.308252
> 59 25.211889
> 60 29.379133
> 61 21.048335
> 62 35.336657
> 63 32.740194
> 64 42.003454
> 65 12.715023
> 66 11.405337
> 67 18.199665
> 68 22.421596
> 69 21.144335
> 70 35.268242
> 71 35.898715
> 72 34.073050
>
> 	[[alternative HTML version deleted]]
>
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> and provide commented, minimal, self-contained, reproducible code.

David Winsemius, MD
Heritage Laboratories
West Hartford, CT

assign $y of predict() function output to variable

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