Hi R Users,
I am going to run a multiple linear regression with around 57 independent
variables. Each time I run the model with just 11 variables, the results
are reasonable. With increasing the number of independent variables more
than 11, the coefficients will get “NA” in the output. Is there any
limitation for the number of independent variables in multiple linear
regressions in R? I attached my dataset as well as R codes below:
mlr.data<- read.table("./multiple.txt",header=T)
mlr.output<- lm(formula = CaV ~ SHG + TrD+ CrH+ SPAD+ FlN+ FrN+ YT+
LA+ LDMP+ B+Cu+ Zn+ Mn + Fe+ K + P+ N +Clay30 +Silt30 +Sand30
+Clay60 +Silt60 +Sand60 +ESP30 +NaEx30+ CEC30+Cl30+ SAR30 +KSol30+ NaSol30
+CaMgSol3 +ZnAv30 +FeAv30 +OC30 +PAv30 +KAv30 +TNV30+ pH30+ EC30 +SP30
+ESP60 +NaEx60 +CEC60 +Cl60 +SAR60 +KSol60 +NaSol60 +CaMgSol6
+ZnAv60+FeAv60 +OC60 +PAv60 +KAv60 +TNV60 +pH60 + EC60 +SP60, data=mlr.data)
summary (mlr.output)
Regards,
Reza
CaV SHG TrD CrH SPAD FlN FrN YT LA LDMP
B Cu Zn Mn Fe K P N Clay30 Silt30
Sand30 Clay60 Silt60 Sand60 ESP30 NaEx30 CEC30 Cl30 SAR30 KSol30
NaSol30 CaMgSol3 ZnAv30 FeAv30 OC30 PAv30 KAv30 TNV30 pH30
EC30 SP30 ESP60 NaEx60 CEC60 Cl60 SAR60 KSol60 NaSol60
CaMgSol6 ZnAv60 FeAv60 OC60 PAv60 KAv60 TNV60 pH60 EC60
SP60
49.83 15.8 22.32 45.8 82.7 126 5 55.8 34.7 57.7
17.9 8.4 14.7 50.5 144.7 0.9 0.1 1.7 14 50
36 10 26 64 3.2 0.3 11.9 87.7 5.6 2.5
25.7 69.8 2.9 3.1 0.66 64.4 360 14.8 9.94 0.6
39.6 4.8 0.2 12.2 51.4 6.9 1.4 33.4 69.9 1.8
3.4 0.2 3.5 290 11.5 7.19 3.21 40.1
37.85 18.9 20.89 53.2 75.9 169 4 67.4 40.1 58.6
15.8 7.9 12.1 53.2 141.6 0.7 0.1 1.9 13 51
34 11 28 64.0 1.9 0.2 12.5 45.7 7.8 3.8
22.9 77.9 3.1 2.5 0.69 45.6 390 14.8 7.2 1.1
40.1 5.4 0.1 13.3 59.9 7.9 1.7 56.6 58.9 1.5
5.5 0.6 1.9 350 10.2 7.1 3.7 42.1
64.12 20.7 19.04 43.9 74.3 133 5 55.9 38.7 60.0
12.1 6.3 12.6 47.4 159.5 1.0 0.1 1.6 12 48
33 13 26 62.0 6.4 1.1 12.6 33.2 10.1 1.8
43.8 99.3 1.5 2.8 0.57 20.5 470 15.1 7.1 0.7
39.8 4.9 0.3 10.9 65.5 7.1 2.3 42.1 66.4 1.1
3.9 0.7 2.9 288.9 12.2 7.2 4.1 35.6
90.28 14.6 19.52 56.9 61.9 145 7 66.5 33.2 59.1
13.7 4.7 10.0 52.1 241.1 0.8 0.1 1.9 13 47
32 10 30 57.0 5.5 0.3 11.7 31.2 3.5 2.4
50.4 65.7 1.9 2.5 0.88 41.9 398 14.3 7 2.4
38.7 3.1 0.5 14.1 71.9 8.4 1.9 36.7 59.1 0.9
2.6 0.5 2.7 290.7 13.6 7 2.6 43.7
111.18 13.2 16.53 61.3 78 127 6 49.9 41.7 51.6
14.7 4.7 10.0 55.8 148.9 0.7 0.1 1.9 14 46
37 11 28 60.0 3.9 0.7 11 21.7 4.3 0.9
33.7 73.6 2.3 2.7 0.78 33.4 349 15.2 7.4 0.9
39.1 2.8 0.1 12.5 76.6 8.9 3.1 32.1 71.4 0.5
6.9 0.5 2.5 256.9 15.1 7.5 1.7 36.7
59.11 12.9 21.34 45.3 78.9 178 6 63.3 39.8 52.0
19.5 4.2 8.9 54.7 229.5 0.7 0.1 1.7 13 46
36 12 30 62.0 2.7 0.7 12.9 19.5 2.6 2.8
61.2 86.9 2.2 3.7 0.86 27.8 400.5 17.1 7.1 2.1
39.9 3.9 0.3 11.9 57.4 6.7 1.6 30.1 89.9 1.8
5.8 0.3 3.7 224.8 12.9 7.3 5.5 34.9
80.89 17.9 15.86 40.3 66.8 154 7 45.6 36.8 47.8
21.6 3.7 12.6 54.7 162.1 0.7 0.1 1.9 11 50
35 13 31 61.0 2.9 0.4 10.9 37.9 7.1 1.9
19.5 55.8 2.8 2.9 0.66 45.1 459 15.6 7.2 0.8
36.1 5.1 0.4 13.1 85.5 5.7 2.1 29.1 92.1 1.9
7.8 0.7 2.8 278.9 11.8 7.2 6.1 32.7
122.74 16.6 17.29 43 77.8 140 6 32.9 37.7 55.6
20.0 4.2 12.1 47.4 152.6 0.9 0.1 1.7 14 49
36 11 25 58.0 3.2 1.5 11.5 24.5 3.9 3.7
20.8 56.9 1.9 2.6 0.72 40.7 398 16.3 7.3 0.7
37.7 2.2 0.1 11.8 55.5 6.1 1.8 39.9 69.9 2.1
2.4 0.3 1.8 312.8 10.6 7.4 7.3 31.2
20.08 7.6 18.28 33.8 60.5 81 1 11.3 37.0 59.8
21.3 3.2 4.9 67.5 153.4 0.5 0.1 0.7 16 46
38 15 45 40 7.7 0.8 11.2 139.8 10.7 1.3
80.7 106.6 2.4 2.4 0.6 10.9 345.8 14.8 7.5 12.2
36.3 6.3 0.7 10.5 108.2 9.8 0.5 63.7 84.4 1.3
2.5 0.4 3.3 213.0 15.7 7.6 10.5 38.2
22.09 11.8 14.44 40.3 61.4 67 2 13.5 34.6 58.7
21.6 2.6 7.6 57.4 186.5 0.5 0.1 0.6 13 48
35 12 30 59 6.8 0.8 12.1 45.8 5.6 1.0
26.1 37.1 1.3 2.5 0.6 4.3 407.2 17.5 7.7 4.7
34.5 6.9 0.8 12.0 65.9 7.4 0.7 38.2 50.9 0.9
2.9 0.4 1.9 265.3 18.3 7.6 6.8 35.2
25.04 8.4 15.29 46.3 65.5 60 1 11.0 33.2 56.2
21.4 2.2 10.1 54.6 167.8 0.4 0.1 0.8 13 48
35 12 30 58 11.3 1.2 10.4 79.7 10.4 0.8
60.6 61.9 0.9 2.2 0.5 3.6 341.3 16.3 7.6 8.3
33.3 9.0 1.0 10.8 82.0 11.8 0.5 65.7 60.5 0.5
2.1 0.3 0.7 205.0 17.9 7.6 8.8 35.1
27.77 23.9 17.80 58.6 80.1 77 2 16.7 37.1 54.9
17.6 3.8 2.7 43.3 108.3 0.4 0.1 1.1 13 48
35 12 31 57 5.3 0.4 8.3 117.0 14.5 2.0
96.7 71.8 0.9 2.4 0.5 3.9 395.0 15.0 7.7 10.0
32.8 11.8 0.9 8.1 73.4 10.7 1.6 57.9 58.1 0.4
3.1 0.3 1.1 193.8 15.8 7.7 8.0 30.1
34.03 8.7 21.02 50.3 68.7 58 1 15.5 36.8 55.9
18.4 2.5 4.6 41.3 141.2 0.4 0.1 0.9 13 48
36 12 31 57 4.4 0.5 10.2 34.1 4.7 1.3
22.4 30.8 0.7 2.5 0.8 4.8 446.4 14.8 7.7 4.3
33.4 4.0 0.4 10.5 58.8 7.6 0.8 38.9 46.6 0.4
2.3 0.5 1.7 316.7 15.7 7.7 6.4 34.2
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