Dear Arnab, ? Thank you very much for your reply. It does not give an error message. The problem is that predict does "work and predict" on the old data and does not make the predictions with the provided new data. ? Best, ? Martin ? ? Gesendet:?Mittwoch, 29. April 2015 um 16:51 Uhr Von:?"ARNAB KR MAITY" <arnab_stat at yahoo.com> An:?"Martin Spindler" <Martin.Spindler at gmx.de>, "r-help at r-project.org" <r-help at r-project.org> Betreff:?Re: [R] Problem with predict.lm() Hi, ? It seems to be working in my R. Although it is throwing the warning message ? Warning message: ? 'newdata' had 200 rows but variables found have 100 rows? ? ?y ? [1] -1.071307580 ?0.102414204 -0.965046207 ?1.386057875 ?0.726835339 ? [6] -0.186549950 -0.777144258 ?1.137210314 -1.069446945 -0.696084338 ?[11] -0.467686285 ?0.997316781 ?0.776265490 -1.385720997 -0.007438381 ?[16] ?0.302821728 ?0.024075173 -0.590401970 ?0.877104292 ?0.652724314 ?[21] ?2.142135078 ?2.023051454 -0.547221960 ?0.342600702 ?0.080848203 ?[26] ?0.074609232 ?0.255946197 -0.191242759 ?1.036445108 ?0.895068954 ?[31] ?0.589477883 ?0.123230750 ?1.467210735 -1.636657283 -0.131504288 ?[36] -0.665000122 ?0.390977868 ?0.546802014 ?0.445498091 ?1.063872749 ?[41] ?1.406788635 -0.037147550 -1.047190960 -0.189105987 ?0.069617165 ?[46] -0.049760285 -1.454279226 ?0.358351554 ?0.246587937 -0.060735329 ?[51] ?1.664530111 -0.475931484 ?0.405480604 ?1.560446941 -0.030537155 ?[56] -1.060319583 -1.828624216 -0.429391165 ?0.301697744 -0.029593593 ?[61] -1.696307754 ?0.342678986 -0.433965195 -0.947338037 ?0.318186677 ?[66] ?0.539630789 -1.354555193 ?0.086168702 ?0.002950100 ?1.783486665 ?[71] -1.182419158 -0.930524123 ?0.376579158 -1.085035387 ?1.186125702 ?[76] ?0.719738391 -0.486692820 -2.105396602 ?0.531238276 ?1.302812739 ?[81] ?0.347851244 ?0.016452693 ?0.417535566 ?0.277705766 ?2.286275977 ?[86] ?1.610183518 ?2.032037030 ?1.319074179 ?1.129375593 ?0.176684807 ?[91] -0.630517144 ?1.302785450 ?0.994275267 -0.060116993 -0.655966924 ?[96] ?1.628197169 ?1.935532651 -1.635783346 -1.172511179 ?1.238336597> ynew? ? ? ? ? ?1 ? ? ? ? ? ?2 ? ? ? ? ? ?3 ? ? ? ? ? ?4 ? ? ? ? ? ?5 ? ? ? ? ? ?6? -0.270916637 ?0.169149841 ?0.191348061 -0.009541999 ?0.112027155 ?0.016242323? ? ? ? ? ? ?7 ? ? ? ? ? ?8 ? ? ? ? ? ?9 ? ? ? ? ? 10 ? ? ? ? ? 11 ? ? ? ? ? 12? -0.062178365 ?0.275322344 ?0.397030485 ?0.565078468 ?0.301230303 ?0.305405674? ? ? ? ? ? 13 ? ? ? ? ? 14 ? ? ? ? ? 15 ? ? ? ? ? 16 ? ? ? ? ? 17 ? ? ? ? ? 18? ?0.552136794 -0.151275710 ?0.470280882 ?0.349631748 ?0.022005869 ?0.181384646? ? ? ? ? ? 19 ? ? ? ? ? 20 ? ? ? ? ? 21 ? ? ? ? ? 22 ? ? ? ? ? 23 ? ? ? ? ? 24? ?0.143719339 ?0.478791323 ?0.518731127 ?0.229860133 -0.199433324 ?0.310576455? ? ? ? ? ? 25 ? ? ? ? ? 26 ? ? ? ? ? 27 ? ? ? ? ? 28 ? ? ? ? ? 29 ? ? ? ? ? 30? ?0.127612633 -0.157347145 ?0.413807523 ?0.007961485 -0.288867750 ?0.208759771? ? ? ? ? ? 31 ? ? ? ? ? 32 ? ? ? ? ? 33 ? ? ? ? ? 34 ? ? ? ? ? 35 ? ? ? ? ? 36? ?0.286165027 ?0.299492579 ?0.197312294 ?0.135601904 ?0.452828662 ?0.187191405? ? ? ? ? ? 37 ? ? ? ? ? 38 ? ? ? ? ? 39 ? ? ? ? ? 40 ? ? ? ? ? 41 ? ? ? ? ? 42? ?0.335596502 -0.109960231 -0.303770506 -0.276385255 ?0.429700474 ?0.003930969? ? ? ? ? ? 43 ? ? ? ? ? 44 ? ? ? ? ? 45 ? ? ? ? ? 46 ? ? ? ? ? 47 ? ? ? ? ? 48? ?0.184186301 ?0.140858190 ?0.479882236 ?0.182523553 -0.133845870 ?0.443940376? ? ? ? ? ? 49 ? ? ? ? ? 50 ? ? ? ? ? 51 ? ? ? ? ? 52 ? ? ? ? ? 53 ? ? ? ? ? 54? ?0.070571673 -0.383780163 ?0.362153269 ?0.202527841 ?0.164299813 ?0.327998904? ? ? ? ? ? 55 ? ? ? ? ? 56 ? ? ? ? ? 57 ? ? ? ? ? 58 ? ? ? ? ? 59 ? ? ? ? ? 60? ?0.047612361 -0.032167295 ?0.060976285 ?0.231929803 -0.449532973 ?0.109925656? ? ? ? ? ? 61 ? ? ? ? ? 62 ? ? ? ? ? 63 ? ? ? ? ? 64 ? ? ? ? ? 65 ? ? ? ? ? 66? ?0.468842330 ?0.108507841 ?0.158697337 -0.125813680 ?0.501159861 ?0.101646132? ? ? ? ? ? 67 ? ? ? ? ? 68 ? ? ? ? ? 69 ? ? ? ? ? 70 ? ? ? ? ? 71 ? ? ? ? ? 72? ?0.194383106 -0.006185569 ?0.354467348 ?0.340013811 ?0.088757961 ?0.439984356? ? ? ? ? ? 73 ? ? ? ? ? 74 ? ? ? ? ? 75 ? ? ? ? ? 76 ? ? ? ? ? 77 ? ? ? ? ? 78? ?0.330976669 ?0.449337326 ?0.081841142 -0.190123754 ?0.337794560 -0.111895039? ? ? ? ? ? 79 ? ? ? ? ? 80 ? ? ? ? ? 81 ? ? ? ? ? 82 ? ? ? ? ? 83 ? ? ? ? ? 84? ?0.598231564 ?0.444399789 ?0.388313945 ?0.244270482 ?0.200026237 ?0.009025077? ? ? ? ? ? 85 ? ? ? ? ? 86 ? ? ? ? ? 87 ? ? ? ? ? 88 ? ? ? ? ? 89 ? ? ? ? ? 90? ?0.341093767 -0.164196034 ?0.825849472 ?0.325975911 ?0.494473323 ?0.270037159? ? ? ? ? ? 91 ? ? ? ? ? 92 ? ? ? ? ? 93 ? ? ? ? ? 94 ? ? ? ? ? 95 ? ? ? ? ? 96? ?0.369787280 ?0.247455471 ?0.282701738 -0.541688411 -0.145796547 ?0.073172268? ? ? ? ? ? 97 ? ? ? ? ? 98 ? ? ? ? ? 99 ? ? ? ? ?100? ?0.685833173 -0.079174316 -0.193161949 -0.137517175? ? ? ? Arnab Kumar Maity Graduate Teaching Assistant Division of Statistics Northern Illinois University DeKalb, Illinois 60115 U.S.A? ------------------------------------------------------------ From: Martin Spindler <Martin.Spindler at gmx.de> To: r-help at r-project.org Sent: Wednesday, April 29, 2015 9:21 AM Subject: [R] Problem with predict.lm() Dear all, ? the following example somehow uses the "old data" (X) to make the predictions, but not the new data Xnew as intended. ? y <- rnorm(100) X <- matrix(rnorm(100*10), ncol=10) lm <- lm(y~X) Xnew <- matrix(rnorm(100*20), ncol=10) ynew <- predict(lm, newdata=as.data.frame(Xnew)) #prediction in not made for Xnew ? How can I foce predict.lm to use use the new data? ? Thank you very much for your efforts in advance! ? Best, ? Martin ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help[https://stat.ethz.ch/mailman/listinfo/r-help] PLEASE do read the posting guide http://www.R-project.org/posting-guide.html[http://www.r-project.org/posting-guide.html] and provide commented, minimal, self-contained, reproducible code. ?