R language multi-linear regression model to predict time series data MLR models in R

<! - # This article is mainly for statistical foundation is weak (such as bloggers) use multiple models do predict words with the MLR / multi-linear regression models for time series data; ->
<- definition:! Person, then that is given a set of data set data = {(x1, y1) , (x2, y2) .... (xn, yn)} to obtain a linear model from the data to reflect the relationship between x and y, f (x) = W1X1 + w2x2 + w3x3 + b-> f (x) = Wt * x + b: w = different parameters ->
usually Euclidean error distance measurement error / least squares method: (f (x) -y) ^ 2 --- y is the ground truth is, the actual value, f (x) is the cross validation predictive value
not want to write today, to write tomorrow .....