Need to know the diference between predict() and predict.lm() in R -


I'm new to statistics and figures. So this question might be a little stupid, but I was wondering if there is any difference between the predict () and predict.lm () ? I think they are similar, but if they were then why do two different tasks?

If there is a prediction class "lm" for the first argument then someone The difference will not be such as the prediction is sent for class-specific editions based on the name of the class. You can see which version of the prediction exists by implementing loaded namespaces: 

  methods [predict]   
 I have a lot of packages Loads are momentous so the list is quite long:  
  & gt; Methods (estimates) [1] Forecasting: Predicting.Reg [3] Prediction.Reg.but prediction. Arima * [5] Forecasting. Arima * Prophecy. BJ * [7] estimated. BS * predicted. BSPline * [9] predict.coxph * predict.coxph.penal * [11] predict.cph * predict.dataRep [13] predict.glm prediction. GLM * [15] predict.glmmPQL * predict.glmtree * [17] predict.gls * prediction.gls * [19] predict.gnls * predict.goodfit * [21] Guess. Hultwinter * Prophecy. Lydia * [23] predict.lm predict.lme * [25] predict.lmList * predict.lmtree * [27] Forecasting .Louis * Prediction.Lex * [29] predict.lrm * predict.mca * [31] predict .mlm prediction. Model party [33] predict.nbSpline * predict.nlme * [35] predict.nls * predict.npolySpline * [37] predict.ns * predict.ols * [39] predict.orm * predict.party * [41] predict .pbSpline * predict.plm * [43] predict.polr * predict.poly [45] predict.polySpline * prediction.polyospline * [47] predict.ppr * predict.prcomp * [49] predict.princomp * predict.psm * [51] predict.pspline * predict.qda * [53] predict.rlm * predict.Rq * [55] Predict.smooth.spline * predict.smooth.spline .fit * [57] Guess. Stretts * can predict. Serving * [5 9] predict.survreg.penal * predict.transcan

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