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summary(cars)

##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

plot(pressure)

library(readr)
library(dplyr)

#intentaremos llamar el archivo
ruta_archivo<-"M:/Econometria/practica_1_ejercicio.csv"
datos<-read_csv(file = ruta_archivo)
datos %>% select("Y") %>% as.matrix()->mat_Y
datos %>% mutate(Cte=1) %>% select ("Cte","X1","X2") %>% as.matrix()->mat_X

#ejercicio 1
#Calcule el producto escalar de la primera y segunda columnas de X
columna_1<-mat_X[,1] %>% as.matrix()
columna_2<-mat_X[,2] %>% as.matrix()
producto_escalar<- t(columna_1) %*% columna_2
print(producto_escalar)

##      [,1]
## [1,]   21