执行以下线性回归时，会引发以下错误。变量在数据集中是数字。
dtsample2 <- read.csv("dtsample2.csv")
gt <- lm(Sales ~ Discount, data = dtsample2)
lm（Sales~Discount，data = dtsample2）出错：未使用的参数 （data = dtsample2）
请在下面找到会话信息。
sessionInfo()
R version 3.4.1 (2017-06-30)
Platform: i386-w64-mingw32/i386 (32-bit)
Running under: Windows 7 (build 7601) Service Pack 1
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] tcltk stats4 grid splines stats graphics grDevices utils datasets methods
[11] base
other attached packages:
[1] RcmdrPlugin.FuzzyClust_1.1 FactoMineR_1.36 RcmdrPlugin.EZR_1.35
[4] Hmisc_4.0-3 Formula_1.2-2 xtable_1.8-2
[7] forecast_8.1 xts_0.10-0 zoo_1.8-0
[10] tseries_0.10-42 TeachingDemos_2.10 RcmdrPlugin.EcoVirtual_1.0
[13] EcoVirtual_1.0 RcmdrPlugin.EBM_1.0-10 epiR_0.9-87
[16] RcmdrPlugin.EACSPIR_0.2-2 reshape_0.8.6 nortest_1.0-4
[19] ez_4.4-0 abind_1.4-5 R2HTML_2.3.2
[22] RcmdrPlugin.doex_0.2.0 RcmdrPlugin.DoE_0.12-3 relimp_1.0-5
[25] DoE.wrapper_0.8-10 rsm_2.8 FrF2_1.7-2
[28] DoE.base_0.30 conf.design_2.0.0 RcmdrPlugin.depthTools_1.3
[31] depthTools_0.4 RcmdrPlugin.coin_1.0-22 multcomp_1.4-6
[34] TH.data_1.0-8 mvtnorm_1.0-6 coin_1.2-0
[37] survival_2.41-3 biclust_1.2.0 colorspace_1.3-2
[40] MASS_7.3-47 RcmdrPlugin.BCA_0.9-8 flexclust_1.3-4
[43] modeltools_0.2-21 lattice_0.20-35 BCA_0.9-3
[46] Rcmdr_2.3-2 RcmdrMisc_1.0-5 sandwich_2.3-4
[49] car_2.1-5 ggthemes_3.4.0 ggplot2_2.2.1
[52] e1071_1.6-8 dplyr_0.7.1 rJava_0.9-8
[55] ModelMetrics_1.1.0 lme4_1.1-13 arules_1.5-2
[58] Matrix_1.2-10 ROCR_1.0-7 gplots_3.0.1
[61] RSQLite_2.0
loaded via a namespace (and not attached):
[1] stringr_1.2.0 gdata_2.18.0 gtools_3.5.0
[4] bindrcpp_0.2 rlang_0.1.1 htmlTable_1.9
[7] iterators_1.0.8 mgcv_1.8-17 blob_1.1.0
[10] bitops_1.0-6 base64enc_0.1-3 quantreg_5.33
[13] reshape2_1.4.2 R6_2.2.2 bit_1.1-12
[16] clue_0.3-53 plyr_1.8.4 tkrplot_0.0-23
[19] stringi_1.1.5 tcltk2_1.2-11 BsMD_2013.0718
[22] rpart.plot_2.1.2 munsell_0.4.3 vcd_1.4-3
[25] MatrixModels_0.4-1 ggthemr_1.1.0 htmlwidgets_0.9
[28] leaps_3.0 quadprog_1.5-5 quantmod_0.4-10
[31] pbkrtest_0.4-7 DBI_0.7 memoise_1.1.0
[34] bindr_0.1 foreign_0.8-69 pkgconfig_2.0.1
[37] BiasedUrn_1.07 tools_3.4.1 acepack_1.4.1
[40] SparseM_1.77 clv_0.3-2.1 cluster_2.0.6
[43] compiler_3.4.1 assertthat_0.2.0 caTools_1.17.1
[46] igraph_1.0.1 gtable_0.2.0 RcmdrPlugin.epack_1.2.5
[49] glue_1.1.1 readxl_1.0.0 digest_0.6.12
[52] RColorBrewer_1.1-2 knitr_1.16 doParallel_1.0.10
[55] htmltools_0.3.6 KernSmooth_2.23-15 DiceDesign_1.7
[58] data.table_1.10.4 lmtest_0.9-35 foreach_1.4.3
[61] sfsmisc_1.1-1 flashClust_1.01-2 RcmdrPlugin.FactoMineR_1.6-0
[64] fracdiff_1.4-2 backports_1.1.0 lazyeval_0.2.0
[67] magrittr_1.5 AlgDesign_1.1-7.3 checkmate_1.8.3
[70] estimability_1.2 minqa_1.2.4 timeDate_3012.100
[73] Rcpp_0.12.12 coda_0.19-1 bit64_0.9-7
[76] scales_0.4.1 TTR_0.23-2 lsmeans_2.26-3
[79] nloptr_1.0.4 combinat_0.0-8 tibble_1.3.3
[82] latticeExtra_0.6-28 RcmdrPlugin.Export_0.3-1 cellranger_1.1.0
[85] nnet_7.3-12 codetools_0.2-15 curl_2.7
[88] gridExtra_2.2.1 nlme_3.1-131 class_7.3-14
[91] parallel_3.4.1 lhs_0.14 rpart_4.1-11
[94] scatterplot3d_0.3-40
答案 0 :(得分：0)
之所以可能发生，是因为您自己定义了较早的自定义lm函数，并且/或者某些具有特定lm定义的软件包已覆盖base::lm。
rm(list = ls())并重新启动R会话以
避免这种行为。gt <- base::lm(Sales ~ Discount, data = dtsample2)从lm包中调用base，并具有所需的功能。请查看示例如何发生：
lm <- function(x) {
0
}
lm(x ~ y, data = df)
# Error in lm(x ~ y, data = df) : unused argument (data = df)