title: Not getting Linear Regression Plot
body: <p>I am trying to plot linear regression between two parameters from my data set. But I am not able to do so, I am getting an error</p>
  
  <blockquote>
    <p>Error in plot.default(yh, r, xlab = l.fit, ylab = "Residuals", main =
    main,  :    formal argument "xlab" matched by multiple actual
    arguments</p>
  </blockquote>
  
  <p>Here is my code</p>
  
  <pre><code>file &lt;- "bank.csv"
  data &lt;- read.csv(file, header=TRUE, sep=";")
  data &lt;- data[(data$Previous_Outcome == "success") | (data$Previous_Outcome == "nonexistent"),]
  data &lt;- data[(data$Duration != "0"),]
  age = data$Age
  duration &lt;- data$Duration
  fit &lt;- lm(age ~ duration)
  png(filename = "AgevsDurationRegression.png", width=480, height=480, units="px")
  &gt; plot(fit, main="Age vs Call Duration Regression", xlab = "Duration in Seconds", ylab = "Age in Years")
  Error in plot.default(yh, r, xlab = l.fit, ylab = "Residuals", main = main,  : 
    formal argument "xlab" matched by multiple actual arguments
  </code></pre>
  
  <p>str(data) and summary(fit) gave me this</p>
  
  <pre><code>summary(fit)
  
  Call:
  lm(formula = age ~ duration)
  
  Residuals:
      Min      1Q  Median      3Q     Max 
  -23.063  -8.045  -2.027   6.956  58.007 
  
  Coefficients:
                Estimate Std. Error t value Pr(&gt;|t|)    
  (Intercept) 40.0792439  0.0752589 532.551   &lt;2e-16 ***
  duration    -0.0001804  0.0002040  -0.884    0.377    
  ---
  Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  
  Residual standard error: 10.28 on 36930 degrees of freedom
  Multiple R-squared:  2.117e-05, Adjusted R-squared:  -5.903e-06 
  F-statistic: 0.782 on 1 and 36930 DF,  p-value: 0.3765
  </code></pre>