Automated multiple linear regression for calibration curves

A sample analyzing system comprising:

• a sample ionization device;
• a sample receiver;
• a mass analysis device fluidically coupled to the sample receiver and to the sample ionization device;
• a processor operatively coupled to the sample receiver, the sample ionization device and to the mass analysis device;
• a data repository operatively coupled to the processor;
• and
• a display device operatively coupled to the processor;
• a memory coupled to the processor, the memory storing instructions that, when executed by the processor, perform a set of operations comprising:
• performing, via the mass analysis device, a first number of calibration measurements for a first number of samples of a compound, the samples having known concentrations, by measuring a signal for each sample;
• receiving, via the mass analysis device, a signal for a sample having an unknown concentration of the compound;
• selecting, via the processor, a second number of calibration measurements from the first number of calibration measurements, the second number being smaller than the first number;
• performing, via the processor, a regression on the selected second number of calibration measurements;
• and
• determining, via the processor, the unknown concentration based on the performed regression.