## 
## Time series regression with "zooreg" data:
## Start = 5, End = 148
## 
## Call:
## dynlm::dynlm(formula = full_formula, data = data, start = start, 
##     end = end)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.25595 -0.08986  0.00985  0.13706  0.85101 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   -2.07094    0.41477  -4.993 1.79e-06 ***
## d(L(lnRP, 1)) -0.86072    0.04004 -21.495  < 2e-16 ***
## d(L(lnRP, 2)) -0.86581    0.04266 -20.296  < 2e-16 ***
## d(L(lnRP, 3)) -0.87444    0.02876 -30.404  < 2e-16 ***
## d(lnRF)       -0.02193    0.04599  -0.477   0.6343    
## d(L(lnRF, 1)) -0.08008    0.04428  -1.809   0.0727 .  
## d(Temp)        0.03285    0.03256   1.009   0.3148    
## ect           -0.19706    0.03906  -5.045 1.43e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.2642 on 136 degrees of freedom
##   (0 observations deleted due to missingness)
## Multiple R-squared:  0.9463, Adjusted R-squared:  0.9435 
## F-statistic: 342.4 on 7 and 136 DF,  p-value: < 2.2e-16