> round(SS_seq_out,4)
       Sequential SS         F Pr(>F) Partial R2
ELEV_C     5785.2914 3436.6972 0.0000     0.4201
LAT        7370.0762 4378.1235 0.0000     0.9228
LONG          1.7751    1.0545 0.3052     0.0029

> round(SS_par_out,4)
       Partial SS         F Pr(>F) Partial R2
ELEV_C    69.4867   41.2779 0.0000     0.1016
LAT     5487.4602 3259.7734 0.0000     0.8993
LONG       1.7751    1.0545 0.3052     0.0029


> txjan.mod1 <- lm(Mean_Jan ~ ELEV_C + LAT + LONG)
> summary(txjan.mod1)

Call:
lm(formula = Mean_Jan ~ ELEV_C + LAT + LONG)

Residuals:
    Min      1Q  Median      3Q     Max 
-3.6464 -0.8679 -0.1357  0.7990  4.5759 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 124.92216    6.54339  19.091  < 2e-16 ***
ELEV_C       -0.09217    0.01435  -6.425 4.12e-10 ***
LAT          -2.28718    0.04006 -57.094  < 2e-16 ***
LONG         -0.06223    0.06060  -1.027    0.305    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 1.297 on 365 degrees of freedom
Multiple R-squared:  0.9554,    Adjusted R-squared:  0.955 
F-statistic:  2605 on 3 and 365 DF,  p-value: < 2.2e-16

> anova(txjan.mod1)               ## Sequential SS / F-tests
Analysis of Variance Table

Response: Mean_Jan
           Df Sum Sq Mean Sq   F value Pr(>F)    
ELEV_C      1 5785.3  5785.3 3436.6972 <2e-16 ***
LAT         1 7370.1  7370.1 4378.1235 <2e-16 ***
LONG        1    1.8     1.8    1.0545 0.3052    
Residuals 365  614.4     1.7                     
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
> drop1(txjan.mod1, test="F")     ## Partial SS / F-tests
Single term deletions

Model:
Mean_Jan ~ ELEV_C + LAT + LONG
       Df Sum of Sq    RSS     AIC   F value    Pr(>F)    
<none>               614.4  196.16                        
ELEV_C  1      69.5  683.9  233.69   41.2779 4.124e-10 ***
LAT     1    5487.5 6101.9 1041.25 3259.7734 < 2.2e-16 ***
LONG    1       1.8  616.2  195.22    1.0545    0.3052    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1